Sia Partners
Consulting
EngineeringManager–AIPlatforms
Neural analysis suggests this role is
optimal for mid candidates.
“Engineering Manager – AI Platforms at Sia Partners. Skills: AI Platforms, Engineering Management, Data Science, LLM. Manage, coach, and grow a team. Conduct performance reviews”
What You'll Achieve.
Deliver tangible results; Achieve transformation; Scalable, secure, and seamlessly integrated AI services; Transform complex statistical models into robust, platform-centric solutions; Deliver measurable value to clients; Ensure reliability and observability of deployed Data Science models; Mitigate bias and ensure data privacy; Platform Ownership; Enablement First; Technical Depth; Production Readiness; Reliability & Scale; Developer Experience; Cost & Efficiency Awareness; Cross-Team Alignment; Team Leadership; Calm Ownership
Industry & Context.
What They're Looking For.
Must Have
8+ years of experience in the data/software space, 3+ years in a formal people management or technical leadership role leading Data Science or ML teams, Deep understanding of the Data Science lifecycle, Hands-on experience building and scaling applications powered by LLMs, Proven track record with Kubernetes, Docker, and cloud-native AI services, Solid understanding of vector databases and distributed system design, Experience in Agile/Scrum methodologies, Experience managing teams that utilize Cursor, GitHub Copilot, or Claude Code, Bachelor’s or Master’s degree in Data Science, Computer Science, AI, or a related quantitative field, Exceptional emotional intelligence, Conflict resolution, Ability to inspire a team during rapid technological shifts
Nice to Have
Experience with RAG, Experience with agentic workflows, Experience with automated model fine-tuning, Experience with LangChain, Experience with LlamaIndex, Experience with Milvus, Experience with Pinecone, Experience with Weaviate, Experience with GDPR, Experience with SOC2, Experience with Responsible AI guardrails
What You'll Do.
Conduct performance reviews
Foster an inclusive environment
Own the roadmap for AI Platforms
Oversee development of ML workflows
Drive adoption of MLOps pipelines
Provide architectural guidance
Conduct reviews for AI integrations
Ensure AI platforms adhere to standards
Implement Responsible AI guardrails
Act as a technical advocate
How You'll Work.
Team & Collaboration
Partner with Lead Data Scientists, Product Managers, and Cloud Architects; Align technical execution with business objectives; Align technical execution with client needs; Work closely with Product EMs, Staff Engineers, and DevOps
Communication Scope
Translating complex Data Science and platform capabilities into clear, value-driven insights
Process & Methodology
Agile/Scrum methodologies, Capacity planning
Full Job Description
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. Sia Partners is looking for an Engineering Manager – AI Platforms to support the design and delivery of next-generation AI and Generative AI platforms within Sia’s AI Factory. This role is pivotal in bridging high-level product vision with robust, cloud-native engineering execution. As an Engineering Manager, you will serve as the bridge between Data Science research and production-grade software engineering. You will be responsible for the health, growth, and delivery of a cross-functional team, ensuring that our data-driven AI services are scalable, secure, and seamlessly integrated into our global consulting framework. You will not only guide the technical architecture of our Large Language Model (LLM) platforms but also foster a culture of scientific excellence, rapid experimentation, and professional development. Your leadership will ensure that Sia remains at the forefront of the AI landscape, transforming complex statistical models and algorithms into robust, platfo
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