{"id":2786607,"url":"https://alion.io/job/syrencloud-senior-data-ai-engineer","title":"Senior Data & AI Engineer","company":{"id":4442673,"name":"Syren","domain":"syrencloud.com","url":"https://alion.io/company/syrencloud","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"MLFlow","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Tool Use","optional":false},{"name":"Docker","optional":true},{"name":"JavaScript","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-09-07T05:20:09Z","employer_posted_date":"2026-09-07","last_verified_at":"2026-10-18T04:50:34Z","board_verified":true,"closed_at":null,"days_open":41,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":41},"description":"About the role\nYou'll be the technical lead for a client-facing AI product team, owning the systems that take GenAI use cases from prototype to production. This is a hands-on role: you'll architect and build agentic and RAG systems on Databricks and Azure, set the engineering standards the team works to, and sit with clients to translate messy requirements into systems that hold up under real usage. You'll mentor engineers and lead technically.\nWhat you'll do\nArchitect and build agentic AI systems - multi-step orchestration, tool use, retrieval, memory, and human-in-the-loop patterns using LangGraph and LangChain\nDesign RAG pipelines end to end: chunking and indexing strategy, vector/AI Search, retrieval quality tuning, grounding and citation behavior\nOwn AI evaluation as a first-class discipline - golden datasets, offline and online eval harnesses, LLM-as-judge where appropriate, regression gates in CI, and ongoing quality, cost, and latency monitoring\nProductionize models and agents via Databricks Model Serving and AI Gateway, with MLflow for tracking, registry, and lineage\nBuild FastAPI services that expose agent and model capabilities to client applications, with Pydantic contracts, auth, versioning, and sensible performance characteristics\nBuild the data foundation underneath: Databricks pipelines, workflows, Delta tables, and compute/storage optimization\nLead architecture and design reviews; make build-vs-buy calls and defend them to both engineers and clients\nWork directly with clients - scoping, demos, technical discovery, and setting realistic expectations about what GenAI will and won't do for their problem\nMentor engineers through code review, pairing, and raising the bar on testing, observability, and CI/CD\nMust have\n4+ years overall in Data and AI, including 3+ years building, scaling, and productionizing AI use cases in production - not proofs of concept\nDeep hands-on experience with LangChain, LangGraph, and Pydantic\nDemonstrated ownership of AI evaluation strategy for LLM systems\nStrong Python and SQL\nFastAPI and API development\nDatabricks DE stack: pipelines, workflows, Delta tables, compute and storage optimization\nDatabricks AI stack: Model Serving, AI Gateway, MLflow, AI/vector Search\nAzure: ADLS, App Service, Entra ID\nComfort in client-facing conversations - able to explain trade-offs to non-engineers without oversimplifying\nGood to have\nKubernetes and Docker\nJenkins CI/CD pipelines\nDatabricks Asset Bundles\nAzure networking (VNets, private endpoints, NSGs)\nReact or comparable frontend experience for internal tooling and demos\nWhat we look for\nJudgment about what survives contact with production. Skepticism toward agent architectures that are more complicated than the problem requires. The instinct to measure before claiming something works, and the willingness to tell a client when a simpler non-AI solution is the right answer.","description_format":"text","description_chars":2900,"description_truncated":false,"requirements":{"experience_years_min":4,"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":[],"lifecycle":[{"event":"open","at":"2026-10-17T15:35:14Z"}],"visa":[],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.608,"p_room":0.45,"age_days":41,"expected_fill_days":26,"reasons":["conf:1","win:tail"],"computed_at":"2026-10-18T06:10:54Z"},"pay":null,"html_url":"https://alion.io/job/syrencloud-senior-data-ai-engineer","json_url":"https://alion.io/job/syrencloud-senior-data-ai-engineer.json","meta":{"generated_at":"2026-10-18T06:10:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9292,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4442673},"rest":"https://alion.io/mcp/rest/get_company?id=4442673"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsyrencloud-senior-data-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsyrencloud-senior-data-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsyrencloud-senior-data-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/syrencloud-senior-data-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsyrencloud-senior-data-ai-engineer"}]}