{"id":1273038,"url":"https://alion.io/job/conversehr-business-solutions-senior-artificial-intelligencemachine-learning-engineer","title":"Senior Artificial Intelligence/Machine Learning Engineer","company":{"id":3800286,"name":"ConverseHR Business Solutions","domain":"conversehr.com","url":"https://alion.io/company/conversehr-business-solutions","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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":2500000,"max":4000000,"currency":"INR","period":"year","gross":true,"usd_annual":41928},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"GraphRAG","optional":true}],"status":"live","first_seen_at":"2026-08-29T08:11:08Z","employer_posted_date":null,"last_verified_at":"2026-08-29T08:11:08Z","board_verified":false,"closed_at":null,"days_open":50,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":50},"description":"Core Responsibilities:\n\n- Design and deploy Generative AI and Agentic AI solutions.\n\n- Deliver applications from concept through production.\n\n- Execute high-impact AI initiatives.\n\n- Review and mentor fellow engineers.\n\n- Build multi-step agentic workflows.\n\n- Develop Retrieval-Augmented Generation (RAG) solutions.\n\nStrategic Responsibilities:\n\n- Partner with business teams to solve complex problems.\n\n- Collaborate with architects on scalable, secure solutions.\n\n- Help define enterprise AI standards and practices.\n\n- Contribute to knowledge graph and data pipeline strategies.\n\nTeam & Collaboration:\n\n- Work closely with engineers, architects, and stakeholders.\n\n- Promote engineering excellence across development and operations.\n\n- Support continuous improvement through mentoring and knowledge sharing.\n\nWhat Will Help You Be Successful in This Role?\n\nExperience & Education:\n\n- 6+ years of software or AI/Machine Learning engineering experience.\n\n- Proven experience delivering Generative AI or Agentic AI solutions to production.\n\n- Experience mentoring engineers or leading projects.\n\n- Azure AI or Data certifications are advantageous.\n\nTech Stack:\n\n- Strong understanding of the end-to-end Generative AI lifecycle.\n\n- Experience with Retrieval-Augmented Generation (RAG) and agent orchestration.\n\n- Hands-on experience with Microsoft Azure AI services.\n\n- Strong Python development skills.\n\n- Experience with LangChain, LangGraph, or similar frameworks.\n\n- Knowledge of knowledge graphs, graph databases, or Graph RAG.\n\n- Experience with modern data platforms and pipeline technologies.\n\n- Experience contributing to semantic design and governance for complex business domains and data landscapes.\n\nSoft Skills:\n\n- Strong collaboration and stakeholder management skills.\n\n- Ability to translate business needs into technical solutions.\n\n- Effective communication and teamwork skills.\n\nWork Shift Timings:\n\n- 2:00 PM - 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