Engineering Manager – AI Platforms

Sia Partners is a next-generation global management consulting firm, founded in 1999 and headquartered in Paris, France. The firm is recognised for its innovative approach, combining strategy and management consulting with data science and creativity. Sia Partners serves a diverse range of sectors, including energy, banking, healthcare, and technology, providing services to over 1,000 clients worldwide, including many Fortune 500 companies. With a strong emphasis on delivering tangible results and superior value, Sia Partners is committed to helping clients navigate the digital revolution and achieve transformation. The firm operates with a global presence, employing over 3,500 consultants across 48 locations in 20 countries

Our Mumbai office was launched in 2024, marking an exciting new chapter for us. We’re building the team with people who are eager to shape something from the ground up — combining the agility and entrepreneurial energy of a startup with the backing and reach of a global brand.

• Experience: 8+ years of experience in the data/software space, with at least 3+ years in a formal people management or technical leadership role leading Data Science or ML teams. 

  
  

• Data Science Mastery: Deep understanding of the Data Science lifecycle, including exploratory data analysis, feature engineering, and advanced modeling techniques (Deep Learning, NLP, etc.). 

  
  

• AI/GenAI Depth: Hands-on experience building and scaling applications powered by LLMs (OpenAI, Claude, Llama) and implementing complex RAG architectures. 

  
  

• Platform Expertise: Proven track record with Kubernetes, Docker, and cloud-native AI services (AWS Bedrock/SageMaker, Azure AI, or Google Vertex AI). 

  
  

• Infrastructure: Solid understanding of vector databases (Milvus, Pinecone, Weaviate) and distributed system design for large-scale data processing. 

  
  

• Management Skills: Strong experience in Agile/Scrum methodologies, capacity planning, and managing globally distributed teams. 

  
  

• AI-Native Engineering Leadership: Experience managing teams that utilize Cursor, GitHub Copilot, or Claude Code as a core part of their daily workflow. 

  
  

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, AI, or a related quantitative field. 

  
  

• Soft Skills: Exceptional emotional intelligence, conflict resolution, and the ability to inspire a team during rapid technological shifts. 

  
  

EM - Product Traits (What Success Looks Like) 

• Platform Ownership: Owns AI platform foundations (infra, tooling, pipelines) as long-lived products 

  
  

• Enablement First: Measures success by how fast and safely product teams ship using the platform 

  
  

• Technical Depth: Understands AI/ML platform trade-offs (compute, latency, cost, scalability, security) 

  
  

• Production Readiness: Ensures platforms support model productionization, monitoring, and lifecycle management 

  
  

• Reliability & Scale: Drives uptime, resilience, and performance for multi-team AI workloads 

  
  

• Developer Experience: Reduces friction in CI/CD, environments, experimentation, and deployments 

  
  

• Cost & Efficiency Awareness: Balances performance with cloud and compute cost controls 

  
  

• Cross-Team Alignment: Works closely with Product EMs, Staff Engineers, and DevOps to align platform roadmaps 

  
  

• Team Leadership: Builds and grows strong platform, DevOps, and ML-infra engineers 

  
  

• Calm Ownership: Leads with clarity and accountability during incidents and scaling challenges 

  
  

What We Offer 

• Opportunity to lead cutting-edge AI projects in a global consulting environment. 

  
  

• Leadership development programs and training sessions at our global centers. 

  
  

• A dynamic and collaborative team environment with diverse projects. 

  
  

Position based in Mumbai (onsite)

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.