Experience: 5-8 years

Location: Pune

Role Overview:

We are looking for a Forward Deployed Engineer (FDE) with 5+ years of experience. Work closely with enterprise customers and internal engineering teams to implement, deploy, integrate, and support AI/ML solutions in customer environments.

The FDE will act as a technical bridge between the customer and engineering teams, understanding customer requirements, translating them into technical solutions, supporting deployments, and ensuring successful adoption and operation of the solution.

This is a highly customer-facing role and requires a strong combination of AI/ML technical expertise, deployment knowledge, problem-solving ability, communication skills, and willingness to travel.

Key Responsibilities:

Ability to co-work with Agentic AI model, Optimizing processes agnatically [agentic optimizing engineering]

Work directly with enterprise customers to understand their technical and business requirements

Act as the technical point of contact between customers and internal engineering teams

Gather, analyse, and translate customer requirements into technical solutions

Design, configure, deploy, and support AI/ML solutions and ML pipelines in customer environments

Work closely with ML Engineers, Solution Architects, Infrastructure Engineers, DevOps/SRE teams, and other technical stakeholders

Support implementation and deployment of AI/ML workloads across customer environments

Troubleshoot technical issues across application, ML, infrastructure, and deployment layers

Work with customer technical teams to identify issues, dependencies, and implementation requirements

Participate in solution discussions and provide technical recommendations based on customer requirements

Support proof-of-concepts, pilots, implementations,



and production deployments as required

Understand customer environments and ensure the proposed solution is aligned with their technical ecosystem

Coordinate with internal engineering teams to resolve customer issues and remove technical blockers

Communicate implementation status, technical challenges, dependencies, and solutions to customers and internal stakeholders

Support the customer throughout the implementation and deployment lifecycle

Work from customer premises when required

Must be available for on-call support as needed

Ability to collaborate effectively with Agentic AI models

Capability to optimize repetitive processes and workflows using agentic/autonomous engineering approaches

Required Technical Skills:

Strong understanding of AI/ML systems and ML pipelines

Practical experience with deployment and productionisation of ML solutions

Understanding of cloud and infrastructure concepts

Familiarity with CI/CD and DevOps practices

Understanding of application deployment and operational processes

Ability to troubleshoot technical issues across multiple layers of a solution

Exposure to enterprise AI/ML environments and customer implementations

Ability to work across different technical stacks and understand how various components interact

Customer-Facing Responsibilities:

Work directly with customer technical teams and business stakeholders

Conduct technical discussions and requirement gathering sessions





Understand customer pain points and convert them into actionable technical requirements

Explain complex technical concepts in a clear and understandable manner

Build strong relationships with customer stakeholders

Coordinate between customer teams and internal engineering teams

Represent the organisation professionally within customer environments

Required Experience:

Experience working on multiple projects or customer engagements

Prior experience in a client-facing technical role is strongly preferred

Experience working with technical teams and enterprise customers

Experience implementing or supporting AI/ML solutions in production environments is preferred

Soft Skills:

Excellent communication skills with the ability to interact with technical and business stakeholders

Solid requirement-gathering and analytical skills

Strong troubleshooting and problem-solving ability

Customer-oriented mindset

Ability to work independently in dynamic customer environments

Strong collaboration and stakeholder-management skills

Ability to adapt quickly to different customer environments and technical requirements

Travel Requirement:

Willingness to travel is mandatory The FDE may be required to travel to and work from customer locations within India and potentially outside India, depending on project requirements

Preferred Profile:

Strong AI/ML and deployment understanding

Hands-on experience with ML pipelines

Enterprise/customer-facing implementation experience

Strong troubleshooting capability

Excellent communication and requirement-gathering skills

Ability to collaborate with multiple engineering teams

Willingness to work from customer premises and travel as required

📌 Field Engineer – AI/ML (Pune)
🏢 Emergys
📍 Pune