{"id":1239013,"url":"https://alion.io/job/rnrcertification-ai-solution-engineer","title":"AI Solution Engineer - GenAI/Cloud","company":{"id":3802028,"name":"rnrcertification","domain":"rnrcertification.in","url":"https://alion.io/company/rnrcertification","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":2000000,"max":3000000,"currency":"INR","period":"year","gross":true,"usd_annual":31554},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon S3","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS Glue","optional":true},{"name":"ETL/ELT","optional":true},{"name":"FastAPI","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Flask","optional":true},{"name":"Function Calling","optional":true},{"name":"IAM","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"LLMOps","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-16T11:58:19Z","employer_posted_date":null,"last_verified_at":"2026-09-16T11:58:19Z","board_verified":false,"closed_at":null,"days_open":42,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":42},"description":"AI Solution Engineer - No Moonlighting candidates.\n\nFull Time Position with MNC\n\nRole:\n\n- Own AI requirements development and technical solutioning for AI RFPs/proposals and internal AI initiatives.\n\n- Build agent-driven workflows (Copilot Studio) and deploy AI/GenAI components on cloud platforms (Azure mandatory & AWS good to have) to production standards.\n\nResponsibilities:\n\n- Conduct stakeholder discovery and translate business goals into AI use cases, requirements, and acceptance criteria.\n\n- Define data requirements: sources, access, quality, governance and retention.\n\n- Design GenAI/ML approaches (RAG, fine-tuning, agent workflows) with clear assumptions and tradeoffs.\n\n- Create evaluation criteria and validation plans (offline tests, human review, regression).\n\n- Break down AI RFP/RFI requirements into scope, risks, dependencies, and level-of-effort estimates.\n\n- Write proposal-ready technical narratives: architecture, methodology, implementation plan, and MLOps/LLMOps.\n\n- Build rapid demos/POCs to validate feasibility (retrieval, tool/function calling, integrations).\n\n- Develop and orchestrate agents in Microsoft Copilot Studio (connectors, actions, governance).\n\n- Implement and deploy solutions on AWS/Azure; 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