Job Title : Lead AI Engineer.

Location : Bangalore.

Work Mode : Onsite / WFO.

Experience : 8 to 12 years.

Education : Bachelor's/Master's in Computer Science, Engineering, or related field (M.Tech/MS preferred but not mandatory).

Notice Period : 30 days preferred.

Roles & Responsibilities :

- Lead end-to-end AI solution development from architecture design through production deployment.

- Own AI system design with a strong emphasis on LLMs and Retrieval-Augmented Generation (RAG).

- Drive creation of comprehensive POCs and data-driven AI strategies for client/business problems.

- Guide cross-functional teams (data engineers, ML engineers, product) and manage stakeholder expectations across Pharma, Retail, or CPG domains.

- Own technical decision-making on model selection, RAG architecture, cloud infrastructure, and MLOps practices.

- Mentor and upskill junior/mid-level AI engineers.

- Present AI strategy and solution trade-offs to both technical and business stakeholders.

Mandatory Skills :

- Python, SQL.

- AI system design & end-to-end AI solution development (LLMs & RAG).

- Cloud platforms Azure / AWS / GCP.

- Data & AI solutioning (data pipelines feeding AI systems).

- 8 to 12 yrs total experience with demonstrable lead-level ownership of AI projects.

Good to Have :

- Domain experience in Pharma, Retail, or CPG.

- End-to-end POC development experience.

- Leadership in AI project delivery (team lead/manager track record).

- MLOps / CI-CD practices for AI pipelines.

Must-Have Soft Skills :

- Leadership and people management.

- Strategic thinking and decision-making.

- Stakeholder management.

- Effective communication (technical ? non-technical).

Good-to-Have Soft Skills :

- Mentoring and coaching junior team members.

- Ability to convey complex domain concepts to mixed audiences.