[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Milford Center, OH # Forward Deployed Engineer Milford Center, OH Operations Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/416659J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Forward Deployed Engineer ## Job description - Must-Have Skills 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 ### Key Responsibilities - 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