Lead Applied AI Research Engineer - Principal Consultant
Winfo Solutions (company site, opens in a new tab)On-siteDirect career pageEst. 25–40 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead technical applied AI research from ambiguous business problems to structured experimentation and validated proofs-of-concept.
- Own formulation of hypotheses, experimentation design, alternative solution evaluation, and producing implementation-ready technical handoffs for development.
- Collaborate closely with cross-functional teams including business stakeholders, AI engineers, data engineers, cloud architects, and product teams to ensure solution viability and readiness.
Minimum Requirements
- Proven experience translating business/customer problems into applied AI solutions with hands-on experimentation and PoC development.
- Strong knowledge of machine learning, deep learning, generative AI, LLMs, RAG, agentic AI; proficiency in Python and modern ML/AI frameworks.
- Experience collaborating with software engineering, data, cloud, architecture, or product teams and communicating technical trade-offs to technical and non-technical audiences.
- Work Experience Required: Not explicitly mentioned in the JD; Location: Hyderabad, India; On-site role.
Ideal Candidate Profile
- Demonstrated ability to operate at the intersection of business problem discovery, AI research, and solution architecture with measurable results (e.g., evaluated PoCs, credible AI solutions).
- Experience in rapidly evolving research and innovation environments with established methodologies for applied AI research and experimentation.
- Track record of building technical credibility and mentoring junior researchers or AI engineers while driving high-value technical ownership.