{"id":1474889,"url":"https://alion.io/job/trinity-sr-data-scientist-ai-engineering","title":"Sr. Data Scientist, AI Engineering","company":{"id":1874379,"name":"Trinity","domain":"trinitylifesciences.com","url":"https://alion.io/company/trinitylifesciences","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":23,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","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":["Bengaluru, India","Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Milvus","optional":false},{"name":"Mistral","optional":false},{"name":"Neo4j","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Transformers","optional":false},{"name":"Weaviate","optional":false},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-05-05T00:00:00Z","employer_posted_date":"2026-05-05","last_verified_at":"2026-09-30T04:21:14Z","board_verified":true,"closed_at":null,"days_open":148,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":148},"description":"We're committed to bringing passion and customer focus to the business.\nKey Responsibilities:\nArchitect and implement RAG pipelines, agentic AI systems, and LLM-driven applications for enterprise use cases.\nDesign and integrate prompt engineering, context management, and knowledge-grounding frameworks to optimize LLM performance.\nCollaborate with data, ML, and software engineering teams to build production-grade GenAI microservices and APIs.\nEvaluate and integrate open-source and proprietary LLMs (e.g., OpenAI, Anthropic, Mistral, Llama, Gemini).\nDesign data pipelines for unstructured/structured content ingestion, indexing, and vector retrieval using Milvus, PostgreSQL (pgvector), or similar technologies.\nDefine and enforce architecture standards, governance, and best practices for scalable GenAI platforms.\nConduct PoCs, benchmark model performance, and lead solution transitions from prototype to production.\nContribute to AI strategy, model lifecycle management, and cost optimization initiatives. Required Skills and Qualifications:\nBachelor’s/Master’s degree in Computer Science, AI, Data Engineering, or related field.\n5-8 years of total experience, with at least 3+ years in AI/ML or NLP systems design.\nProven experience implementing LLM-based solutions, RAG architectures, and prompt orchestration frameworks.\nStrong Python programming skills and familiarity with frameworks like LangChain, LangGraph, LlamaIndex, or Transformers.\nHands-on knowledge of vector databases (Milvus, Pinecone, Weaviate, Chroma) and knowledge graph systems (Neo4j, RDF).\nExperience deploying and managing AI workloads on cloud platforms (GCP, Azure, AWS).\nUnderstanding of MLOps/GenAIOps, model evaluation, and observability practices.\nStrong problem-solving, communication, and stakeholder management capabilities. Preferred Skills\nExperience with multimodal LLMs, agentic reasoning, and tool-using AI agents.\nExposure to pharma/life sciences or regulated enterprise domains.\nContribution to open-source AI frameworks or internal AI accelerators.","description_format":"text","description_chars":2045,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Biotechnology","Health Care"],"lifecycle":[{"event":"open","at":"2026-09-29T18:27:00Z"}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.183,"p_room":0.28,"age_days":148,"expected_fill_days":25,"reasons":["conf:1","stale_co","win:tail","crowd:"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/trinity-sr-data-scientist-ai-engineering","json_url":"https://alion.io/job/trinity-sr-data-scientist-ai-engineering.json","meta":{"generated_at":"2026-09-30T06:40:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4705,"day_limit":5000,"remaining_today":295,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}