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Weekday, Inc.

Forward Deployment Engineer

Sorry, this job was removed at 12:20 a.m. (IST) on Thursday, Sep 17, 2026
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In-Office
Mumbai, Maharashtra, IND
Senior level
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Mumbai, Maharashtra, IND
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Build and deploy production-grade AI systems for portfolio companies, partnering directly with CXOs and business leaders. Translate ambiguous business problems into enterprise AI architectures, agentic workflows, integrations, data systems, models, and infrastructure. Own solutions end-to-end from discovery and architecture through implementation, deployment, iteration, and adoption. The role requires hands-on engineering, strong business communication, cross-company adaptability, and continuous evaluation of emerging AI models, tools, architectures, capabilities, and risks.
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This role is for one of Weekday’s clients
Salary range: Rs 3000000 - Rs 6000000 (ie INR 30 - 60 LPA)

Min Experience: 5+ years
Location: Mumbai, Maharashtra, India
JobType: full-time

We are looking for a Forward Deployed Engineer (FDE) to work closely with a portfolio of high-growth companies

backed by a leading VC fund. The role sits at the intersection of AI engineering, enterprise architecture and business problem-solving.

You will work directly with CXOs, functional leaders and business teams to understand high-impact opportunities and take ownership of architecting and building AI systems end-to-end. This is not a role for someone who only identifies AI use cases, recommends tools or advises teams. We are looking for a hands-on builder who can go from a business problem to a production-grade AI system.


Requirements

What You’ll Do

● Partner directly with CXOs, business leaders and functional heads across portfolio companies to understand their business, workflows and technology landscape.

● Translate business problems into AI-driven solutions and technical architectures.

● Architect and implement end-to-end enterprise AI systems, including the underlying data, models, agents, integrations and infrastructure.

● Build and deploy AI products and workflows hands-on rather than limiting yourself to solutioning or advisory.

● Design agentic AI architectures and enterprise-grade systems that can operate reliably in real-world business environments.

● Own the entire lifecycle of solutions — from initial problem discovery and architecture to development, deployment and iteration.

● Work across different portfolio companies and business functions, adapting solutions to varied operating environments and technology stacks.

● Stay extremely current with the rapidly evolving AI ecosystem — including new models, model releases, agent architectures, tooling, capabilities, limitations and jailbreaks.

● Work closely with engineering and business teams within portfolio companies to ensure solutions are scalable, reliable and actually adopted.

What We’re Looking For

● Strong background in Data Science, Machine Learning Engineering, AI Engineering or a similar technical discipline, ideally with subsequent experience in a Forward Deployed / customer-facing engineering role.

● Deep understanding of AI architecture and enterprise system design, particularly modern agent-based architectures.

● Proven ability to build AI systems from scratch, rather than simply using existing AI tools within established workflows.

● Strong hands-on engineering skills and the ability to independently take an idea from problem statement, architecture, implementation, deployment.

● Ability to understand business operations and translate ambiguous business requirements into technical solutions.

● Strong communication skills and comfort working directly with CXOs, CFOs, functional heads and senior business stakeholders.

● Curiosity and a strong bias toward experimentation, with the ability to rapidly evaluate and adopt emerging AI technologies.

Good-to-have skills

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