{"id":2986663,"url":"https://alion.io/job/renovus-capital-partners-ai-engineering-lead","title":"AI Engineering Lead","company":{"id":707356,"name":"Renovus Capital Partners","domain":"renovuscapital.com","url":"https://alion.io/company/renovus-capital-partners","size_band":"201-500","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":"lead","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":null,"salary_estimate":{"min_usd":24000,"max_usd":63000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":47},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CrewAI","optional":false},{"name":"GitHub","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Azure","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-21T07:56:41Z","employer_posted_date":null,"last_verified_at":"2026-10-21T07:56:41Z","board_verified":false,"closed_at":null,"days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"Job Description:\n\nTarget Start Date: ASAP\n\nJob Location:\n\nHyderabad\n\nReporting To:\n\nManagement\n\nManages Others:\n\nYes\n\nAbout Bay6.ai:\n\nBay6.ai is an enterprise AI platform that builds purpose-driven software for automation, insights, and customer engagement. We combine AI/ML, APIs, cloud-native architectures, and intelligent automation to deliver smart enterprise solutions, helping organizations scale, operate efficiently, and make fast, informed decisions.\n\nPrimary industries: Financial Services, Insurance, Healthcare, Retail & E-commerce, Education, Travel & Hospitality.\n\nAbout This Role:\n\nThis is a hands-on technical leadership role, not just managing projects.\n\n- Must actively drive architecture decisions, establish AI engineering standards, mentor engineers, challenge conventional thinking, and continually raise the technical bar.\n\n- Has a proven track record of delivering enterprise-grade AI solutions.\n\n- Deep expertise across Generative AI, Machine Learning, Agentic AI frameworks, LLMs, Retrieval-Augmented Generation (RAG), AI orchestration, and modern AI application development.\n\n- Must be deeply engaged with the AI ecosystem - actively evaluating emerging models, frameworks, tools, research, and engineering practices, and bringing those innovations into the org to create measurable business value.\n\n- Should define the offshore AI Engineering Center of Excellence (COE), working closely with the counterpart in the US and Delivery teams from India.\n\n- Candidate should be actively leading a team of 10+ AI engineers in their latest / current role.\n\nMust-Have Skills:\n\n- Generative AI, LLMs, RAG, MCP\n\n- Agentic AI (LangChain / LangGraph / LlamaIndex / CrewAI)\n\n- Python & Machine Learning\n\n- AWS AI Services (Bedrock, SageMaker, Lambda, S3)\n\n- AI Orchestration & Enterprise Architecture using open-source platforms like Apache Airflow\n\n- Architecture reviews and decisions\n\n- Evaluating emerging models and frameworks\n\n- GitHub, CI/CD\n\nNice-to-Have Skills:\n\n- Model fine-tuning\n\n- MLOps\n\n- Azure AI / Vertex AI\n\n- AI Governance\n\n- Open-source / conference participation\n\n- Kubernetes & Microservices\n\nJob Responsibilities:\n\n- Lead the design and development of enterprise-grade AI applications using Generative AI, LLMs, RAG, Agentic AI frameworks, and Machine Learning technologies.\n\n- Drive architecture decisions and establish AI engineering standards to deliver scalable, secure, and high-performance AI solutions.\n\n- Build, mentor, and scale a high-performing offshore AI Engineering team while fostering technical excellence and engineering discipline.\n\n- Design and implement AI agents, chatbots, intelligent automation solutions, and predictive models for enterprise customers and internal stakeholders.\n\n- Research, evaluate, and adopt emerging AI models, frameworks, engineering tools, and best practices that create measurable business value.\n\n- Promote AI-assisted software development, reusable AI platforms, and engineering accelerators to improve productivity and delivery efficiency.\n\n- Challenge conventional engineering approaches by introducing innovative AI architectures, modern frameworks, and reusable solution patterns.\n\n- Partner closely with the US leadership team to establish and expand the offshore AI Engineering Center of Excellence (COE).\n\n- Stay actively engaged with the AI ecosystem through research, conferences, technical communities, and open-source initiatives to drive continuous innovation.\n\n- Mentor AI engineers through architecture reviews and knowledge-sharing sessions while developing future leaders.\n\nRequired Experience:\n\n- 12+ years in Software Engineering with significant AI experience.\n\n- Experience leading a team of at least 10 AI engineers in a large organization.\n\n- Expertise in Generative AI, LLMs, RAG, Agentic AI, AI orchestration, and ML.\n\n- Experience delivering enterprise AI solutions.\n\n- Strong architecture, communication, mentoring, and stakeholder management skills.\n\n- Passion for continuous learning, experimentation, and innovation.\n\nSoft Skills Required:\n\n- Strong communication skills, with the ability to translate technical concepts into actionable plans for both technical and non-technical stakeholders.\n\n- Excellent problem-solving and analytical thinking skills.\n\n- Ability to work collaboratively with cross-functional teams and manage multiple projects in a fast-paced environment.\n\n- Ability to impress customers and prospects with functional knowledge and understanding of their business.\n\n- Strategic thinker with the ability to anticipate challenges and proactively address them.\n\nEducational Qualifications:\n\n- Bachelor's / Master's in Computer Science, AI, Engineering, or a related field.\nSkills\nArtificial Intelligence, Generative AI, LLM, Agentic AI, Python, Machine Learning, AWS, LangChain, Apache Airflow","description_format":"text","description_chars":4827,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous 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