ConverseHR Business Solutions
Lead AI Engineer/Technical Architect - Python/Generative AI
Lead AI engineering in Hyderabad as the company's primary AI leader in India, taking generative AI applications from concept to production while setting architecture standards and mentoring engineers. Core stack: expert Python, API/distributed service design, and production GenAI with RAG, agents, and embeddings; 2–11 PM IST shift.
- Compensation
- Not disclosed
- Location
- Hyderabad
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 12+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- MBA from tier 1 college
- 12+ years of software, data, application, or AI engineering experience
- 5+ years leading technical direction for complex initiatives
- Experience delivering enterprise applications end-to-end
- Experience leading cross-functional engineering efforts
- Experience mentoring senior engineers
- Expert Python programming skills
- API and distributed service design expertise
- Modern web application development knowledge
- Experience with production AI and generative AI solutions
- Expertise in RAG, agents, embeddings, and tool integrations
- Knowledge of AI reliability, observability, security, and governance
- Exceptional communication and stakeholder management abilities
- Strong leadership and mentoring capabilities
Nice to have
- Financial services experience
Full description
Core Responsibilities :
- Lead the AI and Software Engineering team in Hyderabad.
- Serve as the primary AI engineering leader in India.
- Partner with stakeholders to define business solutions.
- Deliver AI applications from concept to production.
- Manage delivery plans, dependencies, and risks.
- Establish architecture and engineering standards.
- Contribute directly to design, coding, and troubleshooting.
Strategic Responsibilities :
- Define the technical direction for AI applications.
- Guide architecture, integration, and orchestration decisions.
- Evaluate build-versus-buy technology options.
- Partner with Data and Platform Engineering leaders.
- Drive continuous improvement across the AI portfolio.
- Evaluate emerging AI engineering practices.
- Leverage AI-assisted development tools responsibly.
Team & Collaboration :
- Mentor engineers and support technical growth.
- Review designs and code for quality and consistency.
- Coordinate delivery across engineering teams.
- Communicate technical risks and decisions clearly.
- Support operational readiness and production adoption.
- Build a collaborative and accountable engineering culture.
What Will Help You Be Successful in This Role?Experience, Education & Certifications :
- MBA from tier 1 college.
- 12+ years of software, data, application, or AI engineering experience.
- 5+ years leading technical direction for complex initiatives.
- Experience delivering enterprise applications end-to-end.
- Experience leading cross-functional engineering efforts.
- Experience mentoring senior engineers.
- Financial services experience preferred.
Tech Stack :
- Expert Python programming skills.
- API and distributed service design expertise.
- Modern web application development knowledge.
- Production AI and generative AI solutions.
- Expertise in RAG, agents, embeddings, and tool integrations.
- Knowledge of AI reliability, observability, security, and governance.