Sr Practice Manager- AI/LLM & Python

Job Description

Role: Senior Practice Manager – AI/LLM & Python

Experience: 12- 15+ years

Location: Hyderabad, 5 days WFO

We are seeking a Senior Practice Manager to build, scale, and lead an AI/LLM and full‑stack Python practice delivering production‑grade, enterprise AI solutions across multiple business units. This is a high‑impact leadership role that blends practice building, technical solutioning, commercial ownership, and hands‑on depth.

You will define the technical and commercial backbone of our AI offerings—establishing reusable accelerators, reference architectures, delivery standards, and go‑to‑market solutions—while mentoring high‑performing, cross‑functional teams. This role demands both strategic thinking and execution rigor, with accountability for quality, scalability, security, and cost efficiency of AI solutions.

Key Responsibilities

Practice & Capability Building

• Build and scale an AI/LLM & Python practice from ground up, including talent, assets, and delivery frameworks
• Define reference architectures, accelerators, coding standards, and best practices for LLM and AI applications
• Establish MLOps and LLMOps frameworks ensuring reliability, scalability, governance, and cost optimization
• Partner with leadership to shape AI center‑of‑excellence (CoE) and long‑term roadmaps

Technical & Solution Leadership

• Architect and oversee production‑grade AI/LLM applications using Python and modern full‑stack frameworks
• Lead solutioning across:
• LLM application patterns (RAG, agents, tool use, fine‑tuning)
• Multi‑agent and agentic AI systems
• Secure AI architectures and responsible AI practices
• Review and guide designs for performance, security, observability, and cost efficiency (tokens, infra, APIs)

Commercial & GTM Ownership

• Shape and own AI/LLM go‑to‑market offerings, pitches, and solution narratives
• Support pre‑sales, client workshops, and executive presentations
• Drive revenue growth, margin control, and delivery excellence for the practice

People & Delivery Leadership

• Mentor architects, engineers, data scientists, and MLOps teams
• Build and lead cross‑functional squads across engineering, data, and product
• Ensure on‑time, high‑quality delivery across global engagements

Experience

• 12–15+ years of overall experience with strong recent focus on AI/ML and LLM‑based systems
• Proven experience in practice building, not only project delivery
• Track record of owning end‑to‑end solutioning and enterprise delivery

Technical Expertise

• Expert‑level Python for AI and full‑stack development
• Deep hands‑on experience with:
• LLM application development (RAG, prompt engineering, agents, orchestration)
• MLOps / LLMOps, CI/CD, monitoring, model lifecycle management
• Cloud‑native architectures on Azure (mandatory)
• Strong understanding of token economics, cost optimization, and scaling strategies
• Experience building secure, compliant, and resilient AI systems

Good to Have

• Exposure to AWS and/or GCP
• Experience with low‑code/no‑code or automation platforms
• Multi‑domain and global client exposure