Senior Consultant / Manager - AI Solution Architect

CAPGEMINI SINGAPORE PTE. LTD.; Singapore; Hybrid; SGD 90,000 - 120,000; Full time

Job summary

A leading IT consultancy firm in Singapore is seeking a Senior AI Solution Architect to lead client delivery and solution design using GenAI technology. The role involves hands-on technical architecture and project leadership, ideal for experienced professionals ready to mentor and innovate. Candidates should have extensive experience in AI/ML, strong software engineering skills, and the ability to manage client relationships. Flexible work arrangements and career growth opportunities are offered.

Benefits

Flexible work arrangements

Career growth programs

Exposure to Fortune 500 companies

Qualifications

• More than 5 years’ experience in consulting or tech services.
• 2–3 years of recent experience building or designing AI systems.
• Strong experience with AI/ML software engineering.

Responsibilities

• Design and architect end-to-end GenAI/LLM solutions.
• Lead client projects as Solution Architect.
• Drive technical pre-sales and develop proposals.

Skills

GenAI/RAG/Agentic AI systems

Python

Data/AI/ML software engineering

LLMOps/MLOps

Presenting to C-level

Cloud platforms (Azure, AWS, GCP)

Tools

LangChain

LangGraph

CrewAI

FAISS

Pinecone

Chroma

Job description

Job Description

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‑edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Your Role

We are seeking a hands‑on AI Solution Architect (Senior Consultant / Manager) - with recent experience in GenAI, RAG, and Agentic AI to lead both client delivery and solution design. This is a hybrid role combining delivery leadership, technical architecture, and pre‑sales ownership. Ideal for a Lead/Senior AI/ML Engineer, Tech Lead, or Junior AI Architect who is ready to step into a broader solution architect role and keen to move into a consultative and client facing role while staying technical.

Responsibilities

Client facing and project delivery:

• Design and architect end‑to‑end GenAI/LLM based solutions, including RAG pipelines, agent frameworks, vector databases, and orchestration layers
• Act as Solution Architect and/or Technical Lead on client projects – guiding technical teams and ensuring quality, scalability, and performance
• Lead and facilitate architecture workshops with business and technical stakeholders to define future‑state solutions
• Build and present demos and proof‑of‑concepts using a variety of GenAI tools, frameworks, and models (open‑source or commercial)

Commercial:

• Drive the technical side of pre‑sales, collaborating with sales and engagement teams to shape winning proposals
• Lead the discovery workshop/session

Technical:

• Stay hands‑on and up‑to‑date with evolving GenAI / Agentic AI tech stack: LLM APIs, prompt frameworks, agent orchestration, and cloud‑native ML tools, application, data platform, and AI platform

Practice development:

• Drive the technical capabilities and reusable technical assets, including reference architecture, code baseline, reference technical documentation template
• Drive all technical conceptual framework development and provide thought leadership in cooperation with other consulting colleagues
• Mentor junior engineers and ensure delivery excellence across engagements

Your Profile

• More than 5 years’ experience in consulting or tech services
• 2–3 years of recent experience building or designing GenAI/RAG/Agentic AI systems
• Strong Data/AI/ML software engineering background with hands‑on experience in Python, APIs, embeddings, vector stores, and orchestration tools (LangChain, LangGraph, CrewAI, etc.), LLMOps/MLOps
• Experience with LLMs (e.g., OpenAI, Claude, Mistral), vector DBs (e.g., FAISS, Pinecone, Chroma, etc.)
• Experience with cloud platforms (Azure, AWS or GCP) or Cloud‑agnostic platform such as Databricks
• Experience with productionizing AI/ML model and build application around it
• Experience working in consulting or system integrator (SI) firms with exposure to client‑facing delivery
• Good knowledge of AI/ML
• Comfortable leading technical teams and presenting to C‑level and enterprise architects
• Some exposure to insurance domain projects (e.g., claims, underwriting, chatbot, summarization) is a plus

What You’ll Love About Working Here

• We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance
• At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities
• Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies)