Lead/Principal Forward Deployed AI Engineer- BCG X at boston consulting group

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

20 Jun, 26

Salary

0.0

Posted On

22 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, GenAI Systems, Technical Leadership, System Architecture, LLM Optimization, Distributed Systems, Cloud Platforms, Agentic AI, Product Design, Deployment, Scalability, Python, Client Facing, Architecting, Mentorship, Technical Roadmaps

Industry

Business Consulting and Services

Description

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Lead/Principal Forward Deployed AI Engineer, you will partner with clients across industries and regions to architect, build, and deploy enterprise-grade software and GenAI systems that transform organizations into AI-led businesses. This role combines deep software engineering expertise with enterprise system design, hands-on GenAI implementation, and technical leadership. You will work across the full solution lifecycle—from concept and architecture through deployment and adoption—delivering scalable, production-ready systems in complex enterprise environments. What You’ll Do Architect and deliver enterprise-grade, scalable, and maintainable software and AI systems using modern engineering best practices Design and deploy GenAI and Agentic AI solutions, including conversational AI, intelligent automation, and AI-enabled SDLC transformation Own technical architecture and lead delivery across the full software development lifecycle: product design, scoping, architecture, development, deployment, and scaling Optimize LLM-driven systems and distributed architectures for performance, accuracy, latency, scalability, and cost efficiency Provide technical leadership to engineering teams, including mentorship, architectural governance, and quality oversight Guide non-technical stakeholders on AI platform strategy, implementation best practices, and enterprise adoption Partner directly with clients to shape solution vision, technical roadmaps, and scalable enterprise architectures What You'll Bring What You’ll Bring Proven experience architecting and designing enterprise-grade, scalable systems in complex environments Strong expertise in distributed systems, parallel computing, and large-scale architecture design Experience deploying production systems on cloud platforms (AWS, Azure, or GCP) in enterprise settings Proven experience architecting and deploying AI/GenAI solutions, including Agentic AI systems, at enterprise scale Deep hands-on experience with Large Language Models (LLMs) and AI platforms such as AWS Bedrock, Azure AI Foundry, GCP Gemini Enterprise, LangGraph, Crew AI, or similar Strong programming skills (Python, C++, Scala, or similar) with a track record of delivering production-grade systems Experience leading technical teams, mentoring engineers, and setting architectural direction Strong client-facing presence with the ability to operate at the intersection of business and technology, including solution shaping and executive-level discussions Nice To Have Full-stack development experience (GraphQL, React, JavaScript, TypeScript) DevOps tooling (Docker, Kubernetes, CI/CD, Terraform) Data engineering (SQL, Spark, Hadoop) or machine learning experience (Pandas, Scikit-learn) Additional info Ability to travel based on client and business needs. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Responsibilities

The Lead/Principal Forward Deployed AI Engineer will partner with clients to architect, build, and deploy enterprise-grade software and Generative AI systems that transform organizations into AI-led businesses. This involves owning the technical architecture and leading delivery across the full software development lifecycle, from concept through scaling production-ready systems.