Staff GenAI Engineer at Sia Partners - United Kingdom

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Generative AI, Machine Learning, LLM, RAG Architectures, Agentic Workflows, Microservices, APIs, AWS, Azure, GCP, Docker, Kubernetes, PostgreSQL, MongoDB, Terraform

Industry

Business Consulting and Services

Description

Company 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. Job Description We are seeking a Staff Software Engineer / Staff GenAI Engineer to provide technical leadership in the design, development, and deployment of AI-driven platforms and products. This role combines hands-on engineering expertise with architectural ownership and client-facing consulting responsibilities. Key Responsibilities Lead the architecture, design, and development of scalable backend systems integrating machine learning and Generative AI models into production-grade applications. Drive end-to-end delivery of GenAI solutions, including LLM-based systems, RAG architectures, and agentic workflows, from experimentation to production. Design and implement agentic AI systems enabling multi-step reasoning, tool calling, memory management, and orchestration. Apply a strong understanding of machine learning techniques (regression, classification, clustering, decision trees, neural networks, probabilistic models) to solution design and implementation. Collaborate closely with data scientists to train, fine-tune, evaluate, and deploy ML/AI models, ensuring reliability and performance at scale. Work with structured and unstructured data sources, designing efficient data pipelines and storage strategies. Lead development of backend microservices and APIs supporting AI-driven applications. Ensure production readiness of AI systems, including performance optimization, monitoring, cost control, and security. Define cloud-native deployment strategies for AI solutions on AWS, Azure, and GCP. Establish containerized deployment standards using Docker and Kubernetes across development and production environments. Oversee data architecture, performance, and integrity across SQL and NoSQL databases (PostgreSQL, MongoDB). Implement monitoring and logging frameworks to ensure reliability, observability, and operational excellence of AI systems. Lead the development of AI-powered SaaS products within the Heka.ai platforms. Tactical & cross-team leadership Be a DRI for major architectural initiatives and blueprints; own design docs and migration plans. Maintain ownership of triage and incident prioritization; advocate severity/priority to stakeholders. Serve as a maintainer/owner for multiple critical repositories, tech stacks, or services. Mentor engineers formally; grow others via code reviews, pairing, and career coaching. Break down large efforts into epics and MVCs; coordinate cross-team delivery. Facilitate or lead working groups for cross-cutting initiatives (performance, APIs, security, standards). Represent your group to leadership: engineering allocation, reliability status, and iteration health. Participate in hiring: design interviews, assess candidates, and recommend bias-reduction improvements. Participate in Diversity, Inclusion & Belonging initiatives and mentorship programs Qualifications Education: Bachelor’s/master's degree in computer science, Software Engineering, or a related field. Experience & Technical Skills : 8+ years of experience 8+ years of experience in software engineering, with strong backend expertise in Python and GenAI Exposure. Proven experience delivering AI/ML or Generative AI systems in production environments. Familiarity with gen Ai frameworks like Lang chain, Google ADK and other Agent development Kits. Strong knowledge of cloud-native architectures, microservices, and distributed systems. Hands-on expertise with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code (Terraform). Experience with PostgreSQL, MongoDB, or equivalent databases. AI-Native Engineering: Experience utilize Cursor, GitHub Copilot, or Claude Code as a core part of their daily workflow. Ability to operate in client-facing environments and communicate complex technical concepts clearly. Experience mentoring or leading technical teams is preferred. Staff Engineer Traits (What Success Looks Like) Thinks in systems, not just features. Acts as a force multiplier for technical teams. Drives clarity in ambiguous technical situations. Chooses long-term maintainability over short-term hacks. Communicates complex ideas with precision and calm authority. Leads through technical credibility, not hierarchy. 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.

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Responsibilities

This role involves leading the architecture, design, and development of scalable backend systems integrating Generative AI models into production applications, driving end-to-end delivery of GenAI solutions like LLM-based systems and agentic workflows. Key duties include designing AI agent systems, collaborating on model deployment, and ensuring production readiness through optimization, monitoring, and cloud-native deployment strategies.