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.
Job Description
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, platform-centric solutions that deliver measurable value to our clients worldwide.
Key Responsibilities
Team Leadership & Mentoring: Manage, coach, and grow a team of Software Engineers, ML & GenAI Engineers. Conduct performance reviews, define career paths, and foster an inclusive environment that encourages innovation in algorithmic design and deployment.
Platform Strategy: Own the roadmap for Sia’s AI Platforms, evolving them from experimental models to enterprise-grade foundations that support RAG, agentic workflows, and automated model fine-tuning at scale.
Data Science Excellence: Oversee the development of scalable machine learning workflows, ensuring best practices in statistical rigor, model validation, and the transition from research notebooks to production-ready code.
Technical Oversight: Provide architectural guidance and conduct reviews for complex AI integrations involving vector databases, orchestrators (LangChain, LlamaIndex), and multi-cloud environments.
Qualifications
Data Science Mastery: Deep understanding of the Data Science lifecycle, including exploratory data analysis, feature engineering, and advanced modeling techniques (Deep Learning, NLP, etc.).
Platform Expertise: Proven track record with Kubernetes, Docker, and cloud-native AI services (AWS Bedrock/SageMaker, Azure AI, or Google Vertex AI).
Education: Bachelor’s or Master’s degree in Data Science, Computer Science, AI, or a related quantitative field.
EM - Product Traits (What Success Looks Like)
Technical Depth: Understands AI/ML platform trade-offs (compute, latency, cost, scalability, security)
Additional Information
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.
