Senior Forward Deployment Engineer

Primary Skill set : Python, Embedding, LLM, Agentic AI/ GenAI builds.

• Embed with internal teams and external customers to understand their workflows, pain points, and goals - then design and deploy solutions that fit.
• Build production-quality code, integrations, and automations across AI/GenAI, data, and software platforms to solve concrete business problems.
• Prototype rapid prototypes and proofs-of-concept, iterate based on direct user feedback, and move them into reliable, scalable production.
• Integrate data pipelines, APIs, and third-party systems, handling the real-world messiness of enterprise environments.
• Partner with end users and stakeholders - running demos, gathering requirements, troubleshooting live, and translating technical concepts into business value.
• Feed recurring pain points and friction back to product and engineering teams to influence the core roadmap.
• Monitor and improve solutions for reliability, performance, and adoption after launch - you own outcomes, not just deliverables.

• Establish the playbooks, standards, and tooling for the FDE function, and mentor junior engineers as the team grows., Expectations from this role: Act creatively to develop applications and select appropriate technical options, optimizing application development, maintenance and performance by employing design patterns and reusing proven solutions, account for others’ developmental activities 1. Interpret the application/feature/component design to develop the same in accordance with specifications. 2. Code, debug, test, document and communicate product/component/feature development stages. 3. Validate results with user representatives; integrates and commissions the overall solution 4. Select appropriate technical options for development such as reusing, improving or reconfiguration of existing components or creating own solutions 5. Optimises efficiency, cost and quality. 6. Influence and improve customer satisfaction 7. Set FAST goals for self/teamTypical performance measures: 1. Adherence to engineering process and standards (coding standards) 2. Adherence to project schedule / timelines 3. Number of technical issues uncovered during the execution of the project 4. Number of defects in the code 5. Number of defects post delivery 6. Number of non compliance issues 7. On time completion of mandatory compliance trainingsPerformance Areas: Code as per design Follow coding standards, templates and checklists Review code for team and peers Documentation: Create/review templates, checklists, guidelines, standards for design/process/development Create/review deliverable documents. Design documentation, r and requirements, test cases/results Configure: Define and govern configuration management plan Ensure compliance from the team Test:

• Review and create unit test cases, scenarios and execution
• Review test plan created by testing team
• Provide clarifications to the testing team

Domain relevance:

• Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client.
• Learn more about the customer domain identifying opportunities to provide valuable addition to customers
• Complete relevant domain certifications

Manage Project: Manage delivery of modules and/or manage user stories Manage Defects:

• Perform defect RCA and mitigation
• Identify defect trends and take proactive measures to improve quality

Estimate: Create and provide input for effort estimation for projects Manage knowledge:

• Consume and contribute to project related documents, share point, libraries and client universities
• Review the reusable documents created by the team

Release: Execute and monitor release process Design: Contribute to creation of design (HLD, LLD, SAD)/architecture for Applications/Features/Business Components/Data Models Interface with Customer:

• Clarify requirements and provide guidance to development team
• Present design options to customers
• Conduct product demos

Manage Team:

• Set FAST goals and provide feedback
• Understand aspirations of team members and provide guidance, opportunities, etc
• Ensure team is engaged in project

Certifications: Take relevant domain/technology certification Skill Examples:

1. Explain and communicate the design / development to the customer
2. Perform and evaluate test results against product specifications
3. Break down complex problems into logical components
4. Develop user interfaces, business software components
5. Use data models
6. Estimate time and effort required for developing / debugging features / components
7. Perform and evaluate test in the customer or target environment
8. Make quick decisions on technical/project related challenges
9. Manage a Team,
10. Maintain high motivation levels and positive dynamics in the team.
11. Interface with other teams, designers, and other parallel practices
12. Set goals for self and team. Provide feedback to team members
13. Create and articulate impactful technical presentations
14. Follow high level of business etiquette in emails and other business communication
15. Drive conference calls with customers addressing customer questions
16. Proactively ask for and offer help
17. Ability to work under pressure, determine dependencies, risks, facilitate planning; handling multiple tasks.
18. Build confidence with customers by meeting the deliverables on time with quality.
19. Estimate time and effort, resources required for developing / debugging features / components
20. Make on appropriate utilization of Software / Hardware’s.

21. Strong analytical and problem-solving abilitiesKnowledge Examples:

22. Appropriate software programs / modules
23. Functional and technical designing
24. Programming languages proficient in multiple skill clusters
25. DBMS
26. Operating Systems and software platforms
27. Software Development Life Cycle
28. Agile Scrum or Kanban Methods
29. Integrated development environment (IDE)
30. Rapid application development (RAD)
31. Modelling technology and languages
32. Interface definition languages (IDL)
33. Knowledge of customer domain and deep understanding of sub domain where problem is solved

• Experience: 8+ years building and shipping software in production, including significant time owning complex, ambiguous projects end-to-end with minimal supervision., Deep, hands-on programming expertise (e.g., Python, JavaScript/TypeScript, Java, or Go), strong system design judgment, and fluency working across the full stack and with APIs. Platform fluency: Proven experience with data tools (SQL, pipelines, warehouses such as Snowflake/Databricks) and/or AI/GenAI tooling (LLMs, RAG, agentic workflows). You bring real breadth and adapt quickly to the right tool for the problem. Customer-facing track record: A track record of customer-facing or forward-deployed work - you’ve shipped solutions directly with end users, navigated enterprise complexity, and earned the trust of senior stakeholders. Leadership: You’ve led projects, set technical direction, and raised the bar for those around you - formally or informally. Communication: Exceptional written and verbal communication; you translate fluidly between deep technical detail and executive-level business value. Bias for action: You ship, learn, and iterate Nice to Have

• Experience deploying AI/ML or LLM-based solutions in an enterprise setting.
• Cloud experience (AWS, GCP, or Azure) and familiarity with CI/CD and containerization.
• Experience as a founding or early member of a new team or function.
• Telecommunications or large-scale enterprise data domain knowledge.