Job Title: Lead AI Engineer

Location: Bangalore

Work Mode: Onsite / WFO

Experience: 8–12 years

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

Budget/CTC: Up to ₹40 LPA

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 robust 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)

8–12 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

📌 Lead AI Engineer (Bengaluru)
🏢 r3 Consultant
📍 Bengaluru