Looking for AI Engineer in Plano, TX (Onsite)

AI Engineer

Plano, TX (Onsite)

Contract

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Job details:

• Client Data Science and Machine Learning DSML Team is seeking an experienced AI Engineer to design build evaluate and operationalize the technical foundation of the DSML AI Accelerator This role combines hands on generative AI engineering retrieval augmented generation RAG agent workflow design and software engineering with a strong focus on governance traceability and measurable delivery impact
• The successful candidate will help DSML teams move from fragmented discovery and manual project setup to a reusable governed acceleration capability The engagement is structured in two phases with a formal continuation decision at the end of Phase 1

What Youll Be Doing

• Governed Knowledge and RAG
• Partner with data and business owners to onboard approved documents data definitions prior work and expert knowledge into a governed knowledge base
• Implement retrieval pipelines metadata taxonomy tagging source citations and quality checks that make context discoverable and trustworthy
• Create evaluation datasets and retrievalquality metrics diagnose relevance grounding completeness and sourcestewardship gaps
• Ensure generated outputs clearly distinguish retrieved facts inferences assumptions and items that need subjectmatterexpert confirmation
• Agentic Product Engineering
• Build the Context Agent which retrieves and organizes approved DSML context into structured usable outputs for data scientists and stakeholders
• Build the DSML UseCase Agent which translates business objectives available data and priorproject knowledge into structured datascience and machinelearning use cases including requirements assumptions risks and recommended next steps
• Design multistep agent workflows that retrieve approved context use tools safely produce structured outputs and retain human review points
• Develop the DSML Project Scaffolding Agent which converts a use case into a standardized project starting point generating the repository structure starter code documentation templates and workflow guidance needed to begin delivery efficiently
• Implement prompt workflow and toolorchestration patterns that improve repeatability traceability and usability for Data Scientists ML Engineers Business Analysts Product Owners and SMEs
• Evaluation Delivery and Governance
• Define and instrument technical and usercentered evaluation for agent outputs including correctness completeness traceability revision effort latency and costtoserve
• Work in twoweek agile sprints demonstrate working increments document technical decisions and convert pilot feedback into a prioritized backlog
• Apply secure development practices and meet Responsible AI security privacy datagovernance and enterprise reviewboard requirements
• Partner with the future operating owner to define maintainable code runbooks monitoring knowledgesource refresh practices and an enhancement backlog

What You Bring

• Bachelors degree in Computer Science Data Science Machine Learning or a related field or equivalent practical experience
• 5 years of software data science machine learning or AI engineering experience including production quality Python development and collaborative versioncontrolled delivery
• Hands-on experience building LLM enabled applications RAG systems agentic workflows or comparable AI assistants using APIs and structured tool integrations
• Strong Python skills and experience with modern software engineering practices testing code review CICD API design documentation and observability
• Experience with data retrieval indexing concepts embeddings vector or hybrid search evaluation design and quality measurement
• Ability to turn ambiguous business problems into testable technical requirements and communicate tradeoffs to technical and nontechnical partners
• Demonstrated commitment to responsible AI privacy security and data governance practices

Preferred Qualifications

• Experience with modern LLM orchestration agent workflow or developer assistance platforms
• Experience designing LLM evaluation frameworks guardrails prompt version management telemetry or model risk controls
• Experience supporting ML lifecycle workflows feature or data documentation model development or ML project bootstrapping
• Familiarity with data governance responsible AI access control auditability and human in the loop review
• Engagement Structure and Deliverables
• Phase 1 Foundation Prototype and Continuation Decision
• The role will establish the core technical foundation for the DSML AI Accelerator and deliver the capabilities needed to support a leadership decision on whether to continue and expand the effort
• Current state assessment of DSML context discovery pain points and pro

Skills

Mandatory Skills : Data science, ML & geospatial