{"id":3165233,"url":"https://alion.io/job/sensiple-ai-engineer","title":"AI Engineer","company":{"id":3233002,"name":"Sensiple","domain":"sensiple.com","url":"https://alion.io/company/sensiple","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":113000,"max_usd":251000,"period":"year","method":"role_country_seniority_unknown","sample_n":4194},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Human-in-the-Loop","optional":true},{"name":"LLM Guardrails","optional":true}],"status":"live","first_seen_at":"2026-10-23T13:21:12Z","employer_posted_date":null,"last_verified_at":"2026-10-23T13:21:12Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Sensiple Inc is a New Jersey corporation with over two decades of expertise in technology-driven solutions specializing in Customer Experience, Contact Center Solutions, Digital Transformation, Cloud Computing & Independent Testing.\nWith an expert team that has enriched experience in executing & developing sustainable IT strategies in Healthcare, Technology, Retail, Logistics, Education, Telecommunications, Government and Media, we help our diverse customers to envision the future.\nBy developing highly scalable and consistent solutions, our primary goal is to deliver excellence at all levels and delight our customers and drive them to a better future.\n\nPosition: AI Engineer\nWork Location: Plano, TX (Onsite)\nDuration: Long Term Contract (W2)\n\nJob Description:\nWe are seeking an experienced AI Engineer to design, build, evaluate, and operationalize the technical foundation of the DS/ML AI Accelerator. The successful candidate will be responsible for 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.\nResponsibilities:\nGoverned Knowledge and RAG:\nPartner with data and business owners to onboard approved documents, data definitions, prior work, and expert knowledge into a governed knowledge base.\nImplement retrieval pipelines, metadata, taxonomy, tagging, source citations, and quality checks that make context discoverable and trustworthy.\nCreate evaluation datasets and retrieval-quality metrics; diagnose relevance, grounding, completeness, and source-stewardship gaps.\nEnsure generated outputs clearly distinguish retrieved facts, inferences, assumptions, and items that need subject-matter-expert confirmation.\nAgentic Product Engineering:\nDesign and build secure multi-agent workflows that retrieve approved context, coordinate LLM and deterministic steps, use tools safely, and produce structured, traceable outputs.\nDefine explicit agent roles, tool contracts, workflow state, validation, error handling, stop conditions, and human review points for reliable multi-agent operation.\nImplement reusable prompt, workflow, and tool-orchestration patterns that improve repeatability, traceability, and usability for Data Scientists, ML Engineers, Business Analysts, Product Owners, and SMEs.\nEvaluation, Delivery, and Governance:\nDefine and instrument technical and user-centered evaluation for agent outputs, including correctness, completeness, traceability, revision effort, latency, and cost-to-serve.\nWork in two-week agile sprints; demonstrate working increments, document technical decisions and convert pilot feedback into a prioritized backlog.\nApply secure development practices and meet Responsible AI, security, privacy, data-governance, and enterprise review-board requirements.\nPartner with the future operating owner to define maintainable code, runbooks, monitoring, knowledge-source refresh practices, and an enhancement backlog.\nRequired Experience:\n5+ years of software, data science, machine learning, or AI engineering experience, including production-quality Python development and collaborative version-controlled delivery.\nHands-on experience building LLM-enabled applications, RAG systems, agentic workflows, or comparable AI assistants using APIs and structured tool integrations.\nStrong Python skills and experience with modern software engineering practices: testing, code review, CI/CD, API design, documentation, and observability.\nExperience with data retrieval/indexing concepts, embeddings, vector or hybrid search, evaluation design, and quality measurement.\nAbility to turn ambiguous business problems into testable technical requirements and communicate tradeoffs to technical and nontechnical partners.\nDemonstrated commitment to responsible AI, privacy, security, and data-governance practices.\nPreferred Qualifications:\nExperience with modern LLM orchestration, agent-workflow, or developer-assistance platforms.\nExperience designing LLM evaluation frameworks, guardrails, prompt/version management, telemetry, or model-risk controls.\nExperience supporting ML lifecycle workflows, feature or data documentation, model development, or ML project bootstrapping.\nFamiliarity with data governance, responsible AI, access control, auditability, and human-in-the-loop review.","description_format":"text","description_chars":4377,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","AI Consulting & 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