Build enterprise-grade systems with a team that values execution.
Teknismart works across software engineering, enterprise AI, cloud, data, IAM, QA, and consulting delivery. We look for professionals who can think clearly, contribute quickly, and help clients move important work forward.
Build Your Next Opportunity
Teknismart offers the chance to work on meaningful enterprise initiatives where technical quality, delivery accountability, and business relevance all matter. Whether you are an engineer, architect, analyst, project leader, or technical consultant, you will contribute to work that stays practical, varied, and closely tied to real client outcomes.
Our teams support software engineering, enterprise AI, cloud modernization, data platforms, cybersecurity, and consulting-led delivery. As our client work grows, we continue adding roles across AI and machine learning, cloud and DevOps, data and analytics, cybersecurity, business analysis, program delivery, and technical leadership.
Work on technical projects that solve real operational and transformation challenges
Contribute across engineering, architecture, delivery, and modernization programs
Build hands-on experience in enterprise environments including AI, cloud, data, security, and regulated platforms
Collaborate with professionals who value clarity, ownership, responsiveness, and disciplined execution
Grow across both deep technical roles and client-facing delivery leadership opportunities
AI / Machine Learning Engineer
Senior-Level • AI/ML • Full-Time • Hybrid
Design, build, and deploy machine learning solutions that support real business use cases across analytics, automation, prediction, and intelligent decision support. This role spans data pipelines, model development, experimentation, and production implementation in enterprise environments.
Role Overview
The AI / Machine Learning Engineer turns business problems into scalable ML solutions with measurable value. This role works across model design, experimentation, validation, and production-ready implementation.
Location
Plano, TX
Key Responsibilities
Design and deploy machine learning models for business-facing use cases
Collaborate with data, engineering, and business teams to define solution scope
Support feature engineering, model validation, and production rollout
Help establish monitoring, feedback loops, and performance improvements
Required Experience / Qualifications
Strong experience in machine learning development and applied analytics
Hands-on capability with Python-based ML tooling and data workflows
Ability to translate business needs into technical solution approaches
Experience working in production-oriented or enterprise delivery environments
Preferred Skills
Experience with cloud ML services, MLOps, or model monitoring
Exposure to AI governance and secure deployment considerations
Help design and implement enterprise-ready generative AI solutions, including intelligent assistants, document workflows, knowledge retrieval, and secure LLM-powered business tools. The focus is practical implementation that is secure, usable, and aligned with business needs.
Role Overview
This role bridges AI opportunity and implementation. You will help clients translate generative AI concepts into production-oriented solutions that fit enterprise controls, user needs, and operational realities.
Location
Plano, TX
Key Responsibilities
Design generative AI workflows for assistants, search, and content-heavy processes
Support prompt patterns, retrieval workflows, and enterprise integration design
Work with stakeholders to define secure, practical use cases
Help shape rollout plans, guardrails, and governance-aware implementations
Required Experience / Qualifications
Strong understanding of LLM-driven solution patterns
Experience with API integration, workflow design, or retrieval systems
Ability to communicate clearly across technical and business teams
Practical delivery mindset with attention to usability and control
Preferred Skills
Experience with enterprise search, document automation, or chatbot implementations
Exposure to model orchestration, vector search, or AI governance frameworks
Develop analytical models, predictive insights, and data-driven solutions that help clients improve performance and make more informed decisions. This role combines data exploration, statistical analysis, model development, and business collaboration to solve complex problems.
Role Overview
The Data Scientist supports business decisions through robust analysis, predictive modeling, and insight generation. This role is suited to professionals who can combine technical rigor with practical business thinking.
Location
Remote
Key Responsibilities
Analyze structured and unstructured data to uncover trends and opportunities
Develop predictive models and decision-support logic
Partner with stakeholders to frame analytics questions and interpret results
Support experimentation, reporting, and outcome measurement
Required Experience / Qualifications
Strong background in analytics, statistics, or applied data science
Experience building predictive or classification models
Ability to communicate findings clearly to non-technical audiences
Comfort working with evolving datasets and business requirements
Preferred Skills
Experience in enterprise reporting, forecasting, or customer analytics
Exposure to ML deployment, BI tools, or cloud analytics platforms
Build and maintain reliable data pipelines, integration workflows, and scalable data environments that support analytics, reporting, and AI initiatives. This role creates the strong data foundation required for modern enterprise systems.
Role Overview
The Data Engineer focuses on scalable ingestion, transformation, and data delivery patterns that enable reporting, analytics, and AI initiatives. This role helps clients move from fragmented data to trusted, usable pipelines.
Location
Plano, TX
Key Responsibilities
Build and maintain ETL/ELT pipelines across enterprise source systems
Support warehouse, lakehouse, and reporting-ready data models
Improve reliability, performance, and observability across data flows
Collaborate with analytics and engineering teams on downstream data needs
Required Experience / Qualifications
Strong experience with data pipelines and integration workflows
Hands-on knowledge of SQL, transformation logic, and cloud data patterns
Ability to troubleshoot performance and reliability issues
Experience working with multiple source systems and evolving requirements
Preferred Skills
Experience with Azure, AWS, Spark, or modern data orchestration tools
Exposure to analytics engineering, governance, or AI-ready data environments
AI Operations • Platform Engineering • Full-Time • Remote
Support the operationalization of machine learning by building repeatable deployment, monitoring, and lifecycle management processes for AI models. This role helps move models from experimentation into secure, stable production environments.
Role Overview
The MLOps Engineer connects data science and platform engineering. You will help create dependable pathways for model deployment, observability, and repeatable production operations.
Location
Remote
Key Responsibilities
Build deployment pipelines for machine learning solutions
Support model monitoring, versioning, and rollback strategies
Collaborate with data scientists and platform teams on production readiness
Improve automation, environment consistency, and release discipline
Required Experience / Qualifications
Experience with CI/CD, automation, and platform-oriented engineering
Understanding of machine learning lifecycle requirements
Ability to support monitoring and operational stability for AI workloads
Strong troubleshooting and systems thinking
Preferred Skills
Experience with cloud ML platforms, containers, or infrastructure as code
Exposure to model governance, observability, or secure release practices
AI Strategy • Business Analysis • Full-Time • Hybrid
Work closely with stakeholders, technical teams, and delivery leads to identify high-value AI use cases, define solution requirements, and support implementation planning. This role ensures AI initiatives stay aligned with business outcomes and operational constraints.
Role Overview
This role helps shape the right AI work before implementation begins. It is ideal for professionals who can connect business priorities with realistic delivery paths and user-centered requirements.
Location
Plano, TX
Key Responsibilities
Facilitate requirements gathering for AI and automation initiatives
Document use cases, workflows, decision points, and success criteria
Support prioritization, planning, and stakeholder alignment
Help technical teams understand business context and operational needs
Required Experience / Qualifications
Strong business analysis and stakeholder management skills
Experience documenting workflows, requirements, and process changes
Ability to communicate effectively with both business and technical teams
Comfort working in delivery environments with multiple moving parts
Preferred Skills
Experience supporting AI, analytics, or automation projects
Exposure to enterprise systems, consulting delivery, or process optimization
Cloud Architecture • AI Enablement • Contract • Remote
Design and implement cloud-based architectures that support AI, analytics, and modern application delivery. This role focuses on connecting AI workloads with secure, scalable infrastructure across cloud and hybrid environments.
Role Overview
The Cloud & AI Integration Engineer helps connect infrastructure, platforms, and AI workloads into cohesive environments that can scale securely. This role supports architecture design as well as implementation alignment.
Location
Remote
Key Responsibilities
Design integration patterns for AI services, applications, and cloud platforms
Support APIs, automation, and secure connectivity across systems
Help shape scalable infrastructure for analytics and AI workloads
Collaborate with engineering and architecture teams on delivery decisions
Required Experience / Qualifications
Strong experience with cloud platforms and integration design
Ability to support scalable, secure architecture patterns
Hands-on comfort with APIs, automation, and service connectivity
Experience working on enterprise implementations
Preferred Skills
Experience with AWS, Azure, or hybrid cloud environments
Exposure to AI services, event-driven integration, or infrastructure automation
Applied AI • Workflow Automation • Contract • Remote
Build solutions that use natural language processing and intelligent automation to improve workflows, searchability, and user interaction across enterprise systems. This role may include document processing, text classification, chatbot workflows, and knowledge extraction.
Role Overview
This role focuses on AI patterns that improve how people find, process, and act on information. It is a strong fit for professionals who enjoy building practical automation around language-heavy workflows.
Location
Remote
Key Responsibilities
Build NLP-driven workflows for document-heavy and text-heavy use cases
Support classification, extraction, summarization, or search experiences
Integrate automation flows into broader enterprise processes
Collaborate with stakeholders on practical AI use cases and rollout
Required Experience / Qualifications
Experience with NLP concepts or applied text-processing workflows
Strong implementation mindset across APIs, data, and automation patterns
Ability to work with evolving requirements and use cases
Comfort collaborating across technical and business teams
Preferred Skills
Experience with chatbots, knowledge retrieval, or document automation
Exposure to LLM-enhanced workflows or enterprise search patterns
Develop robust applications, services, and integrations that support digital transformation and business-critical initiatives. We’re looking for engineers who can contribute technical depth while working collaboratively across teams and delivery streams.
Role Overview
The Senior Software Engineer supports hands-on delivery across application design, APIs, integrations, and enterprise implementations. This role is ideal for experienced engineers who can execute cleanly and contribute to technical decisions.
Location
Plano, TX
Key Responsibilities
Build and enhance enterprise applications, services, and APIs
Support architecture, implementation planning, and issue resolution
Collaborate with QA, analysts, and client stakeholders across delivery workstreams
Help maintain code quality, performance, and maintainability
Support cloud infrastructure, deployment automation, CI/CD pipelines, and operational reliability across modern application and platform environments. This role helps teams move faster while maintaining stability, security, and scalability.
Role Overview
The Cloud / DevOps Engineer helps create dependable release and operational patterns across cloud-first delivery. The focus is on automation, consistency, visibility, and resilient platform support.
Location
Remote
Key Responsibilities
Build and improve CI/CD pipelines and release workflows
Support infrastructure automation and environment consistency
Improve observability, deployment reliability, and operational readiness
Work with engineering teams on scalable cloud delivery practices
Required Experience / Qualifications
Experience with cloud infrastructure and automation workflows
Strong understanding of CI/CD and release engineering patterns
Ability to troubleshoot environment and deployment issues
Hands-on delivery mindset in fast-moving technical programs
Preferred Skills
Experience with containers, infrastructure as code, or monitoring stacks
Exposure to AWS, Azure, or hybrid operational environments
Help clients improve security posture through identity management, access governance, risk reduction, and secure implementation practices. This role supports initiatives involving IAM, role-based access, security architecture, compliance readiness, and enterprise controls.
Role Overview
This role supports organizations that need stronger security design without losing operational usability. It is well-suited for consultants who can combine technical depth with control-oriented thinking.
Location
Remote
Key Responsibilities
Support IAM, access governance, and role design initiatives
Assist with security reviews, risk reduction, and control alignment
Work with stakeholders on compliant, usable implementation approaches
Help document processes, approvals, and security-aware workflows
Required Experience / Qualifications
Strong experience in IAM, security, or access governance
Understanding of role-based access, audit expectations, and enterprise controls
Ability to communicate clearly with technical and operational stakeholders
Experience in implementation or consulting environments
Preferred Skills
Experience with SailPoint, cloud security, or zero-trust-aligned initiatives
Exposure to compliance frameworks or security program support
Business Analysis • Delivery Support • Full-Time • Hybrid
Support delivery teams by gathering requirements, documenting business processes, coordinating stakeholders, and helping drive project execution. This role is well-suited for professionals who bring structure, communication, and clarity to complex initiatives.
Role Overview
The Business Analyst / Project Support Consultant helps delivery teams stay aligned, organized, and execution-ready. This role supports process understanding, requirements clarity, and stakeholder coordination.
Location
Plano, TX
Key Responsibilities
Gather and document requirements, workflows, and business rules
Support delivery planning, status tracking, and stakeholder communication
Help identify issues, dependencies, and change impacts
Maintain clear documentation that supports execution and continuity
Required Experience / Qualifications
Strong business analysis and documentation skills
Ability to coordinate across business and technical teams
Comfort working in project-driven environments with changing priorities
Clear communication and structured thinking
Preferred Skills
Experience with enterprise systems, consulting delivery, or project coordination
Exposure to AI, cloud, data, or application delivery initiatives
Lead complex technology initiatives from planning through execution, coordinating cross-functional teams, timelines, risks, and stakeholder communication. This role is ideal for experienced professionals who can drive delivery across enterprise software, modernization, infrastructure, and transformation programs.
Role Overview
The Senior IT Project Manager manages end-to-end technology initiatives that support business-critical objectives. This role works closely with clients, technical teams, and leadership to keep delivery aligned, visible, and accountable.
Location
Plano, TX
Key Responsibilities
Lead project planning, scheduling, and execution across multiple workstreams
Define scope, milestones, dependencies, and delivery timelines
Manage risks, issues, governance meetings, and stakeholder communication
Support delivery quality, change management, and issue resolution
Required Experience / Qualifications
Extensive experience managing IT projects in enterprise environments
Strong knowledge of project planning, governance, and stakeholder management
Experience leading software, cloud, infrastructure, or transformation initiatives
Excellent communication, documentation, and organizational skills
Preferred Skills
Experience in consulting-led delivery models
Familiarity with Agile, Waterfall, or hybrid approaches
Exposure to cloud, AI, cybersecurity, or data programs
Program Leadership • Enterprise Initiatives • Full-Time • Hybrid
Oversee multi-project initiatives and strategic delivery programs that span teams, technologies, and business units. This role focuses on cross-program alignment, governance, planning, and outcome delivery across large or complex enterprise engagements.
Role Overview
The Senior Program Manager drives large-scale technology and transformation programs involving multiple stakeholders, workstreams, and delivery teams. The role ensures projects remain aligned to business priorities and strategic goals.
Location
Remote
Key Responsibilities
Lead program planning across multiple related projects or initiatives
Define governance structures, reporting models, and program milestones
Manage interdependencies, escalations, and cross-team coordination
Support strategic decision-making through clear reporting and planning
Required Experience / Qualifications
Extensive experience leading enterprise technology programs
Strong ability to manage complex dependencies across multiple teams
Excellent executive-level communication and stakeholder alignment skills
Strong planning, prioritization, and governance capabilities
Preferred Skills
Consulting experience in enterprise client environments
Experience in PMO or structured program governance settings
Exposure to AI, cloud, security, or enterprise platform initiatives
Bridge technical execution and delivery management by guiding engineering teams, coordinating implementation activities, and ensuring delivery stays aligned with business expectations. Strong ownership, communication, and execution management are key.
Role Overview
The Technical Delivery Manager helps drive successful execution of client-facing technology initiatives by coordinating teams, resolving blockers, managing priorities, and maintaining visibility across implementation efforts.
Location
Remote
Key Responsibilities
Coordinate delivery across engineering, architecture, QA, and business teams
Maintain visibility into scope, timelines, and implementation progress
Identify blockers, risks, and delivery dependencies
Support sprint planning, release coordination, and status reporting
Required Experience / Qualifications
Strong experience in technical project or delivery management
Ability to work closely with software, cloud, data, or platform teams
Strong communication and coordination skills across technical and non-technical stakeholders
Experience managing enterprise implementations or consulting engagements
Preferred Skills
Familiarity with Agile delivery and cross-functional engineering teams
Exposure to software lifecycle planning and release coordination
Provide hands-on technical leadership across software, cloud, AI, and integration initiatives while guiding engineering quality, architecture decisions, and team execution. This role is ideal for experienced professionals who can lead by example and help translate business needs into strong technical outcomes.
Role Overview
The Technical Lead / Engineering Lead guides solution design, implementation quality, and engineering execution across complex initiatives. This role combines technical depth with leadership and mentorship.
Location
Plano, TX
Key Responsibilities
Lead technical design and implementation across assigned initiatives
Guide engineering teams on architecture, standards, and quality practices
Support technical planning, estimation, and implementation decisions
Mentor team members and help resolve complex technical issues
Required Experience / Qualifications
Extensive hands-on experience in software engineering or technical architecture
Experience leading technical teams across design and delivery phases
Strong ability to communicate technical tradeoffs clearly
Comfort operating in enterprise-scale environments
Preferred Skills
Experience with cloud platforms, integrations, AI/ML, or enterprise applications
Consulting or client-facing technical delivery experience
Design scalable, secure, and practical solution architectures that align business requirements with modern technical capabilities. This role is ideal for experienced professionals who can bring structure to complex environments and guide implementation teams.
Role Overview
The Solutions Architect works with business stakeholders and technical teams to shape end-to-end solution designs that support immediate delivery needs and long-term scalability.
Location
Remote
Key Responsibilities
Translate business requirements into solution architecture patterns
Define architecture approaches for applications, integrations, cloud, and data
Identify technical dependencies, risks, and implementation considerations
Support delivery alignment across technical and business stakeholders
Required Experience / Qualifications
Extensive experience in solution design and enterprise architecture
Strong understanding of application, integration, data, and cloud patterns
Ability to balance technical quality with business practicality
Lead client-facing delivery with a focus on relationship management, execution oversight, and long-term account success. This role combines delivery governance, stakeholder communication, and strategic coordination to help ensure client initiatives move forward smoothly and successfully.
Role Overview
The Engagement Manager / Client Delivery Lead serves as a central point of coordination for client-facing initiatives, helping align expectations, manage delivery progress, and maintain strong working relationships across the engagement lifecycle.
Location
Remote
Key Responsibilities
Act as a client-facing leader across active projects and initiatives
Coordinate delivery expectations, status updates, and issue resolution
Maintain visibility into scope, priorities, and execution progress
Build strong client relationships through responsiveness and accountability
Required Experience / Qualifications
Strong experience in client-facing delivery or engagement management
Ability to manage stakeholder expectations and drive alignment
Experience working across consulting, technology, or implementation services
Strong communication and organizational skills
Preferred Skills
Exposure to enterprise software, cloud, AI, security, or modernization projects
