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# Forward Deployed Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Milford Center, OH, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Debugging, Middleware, Machine Learning, Rapid Prototyping Process, Software Engineering, Systems Integration, Google Cloud, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Virtual Agents, Api Management
- **Published:** June 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=85526c8fda84e430

## About the Role

Do you have experience in Systems integration?, * Strong AI/ML engineering and software development experience

 * Expertise in LLMs, Gemini APIs, Vertex AI, and Google Cloud
 * Experience building agentic AI workflows, copilots, and intelligent agents
 * Hands-on implementation of RAG systems and vector databases
 * Strong prompt engineering skills and applied analytics knowledge
 * Ability to integrate AI solutions with enterprise systems
 * Experience with middleware, orchestration layers, and API integrations
 * Knowledge of AI observability, evaluation frameworks, guardrails, and security controls
 * Strong problem-solving, debugging, and rapid prototyping ability
 * Excellent communication and stakeholder management skills
 * Ability to thrive in fast-paced, ambiguous environments with ownership mindset

## Description

* Develop and deploy AI solutions using Gemini Enterprise, Vertex AI, and Google Cloud
 * Build prototypes, POCs, and production-grade AI applications rapidly
 * Design and implement agentic workflows, RAG systems, and AI orchestration pipelines
 * Integrate LLMs with enterprise platforms and build middleware layers
 * Create intelligent copilots, multi-modal demos, and automation workflows
 * Ensure AI systems meet standards for reliability, s ecurity, explainability, and compliance
 * Implement monitoring, evaluation, and human-in-the-loop frameworks
 * Work directly with clients to gather requirements and design AI solutions
 * Lead technical discussions, discovery workshops, and solution demos
 * Act as a bridge between business stakeholders and engineering teams


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