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

- Strong requirement-gathering and analytical skills

- Strong troubleshooting and problem-solving ability

- Customer-oriented mindset

- Ability to work independently in agile 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Forward Deployed Engineer (FDE) (Pune)
🏢 Ellicium Solutions
📍 Pune