{"id":2820489,"url":"https://alion.io/job/tech-mahindra-fde-gen-ai","title":"FDE Gen AI","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"CrewAI","optional":true},{"name":"Google ADK","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true}],"status":"live","first_seen_at":"2026-10-18T16:28:59Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-27T09:27:45Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Job Description\n\nSkill Set :\nGCP,LLM,AI / ML / DL,Ccaas,CCAI,Dialogflow CX,CX Agent Studio,SCRAPI,Agent Assist,FDE Gen AI,xGemini-powered CX\n\nTotal Experience :\n8.00 to 15.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n18/09/2026\n\nJob Expiry Date :\n31/10/2026\n\nDomain :\nIT\n\nLocation :\nSAN JOSE [United States]\n\nJob Reference No :\n4107054\n\nJob Summary\nRole: FDE, Gen AI\nLocation: San Jose, CA\nAs a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers.\nUnlike traditional advisory roles, you function as an \"innovator-builder,\" moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset.\n You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity.\nBy embedding with strategic accounts, you serve a dual purpose: providing \"white glove\" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.\nJob Responsibilities:\nServe as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.\nArchitect and code the \"connective tissue\" between Google’s AI products (Gemini-powered CX, Customer Engagement Suite, and Contact Center AI) and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.\nBuild high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.\nIdentify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.\nCo-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\nMinimum Qualifications:\nBachelor’s degree in engineering, Computer Science, a related field, or equivalent practical experience.\n5 years of experience with software development using Python or similar coding languages.\nExperience architecting AI systems on cloud platforms (e.g., GCP).\nExperience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.\nExperience taking production-grade AI-driven solutions from conception to launch for customers.\nExperience leading technical discovery sessions with customers.\nHands-on experience implementing and customizing Google’s Conversational AI product suite, including Conversational Agents (Gemini-powered CX), Customer Engagement Suite (CES), and Contact Center AI (CCAI).\nPreferred Qualifications:\nMaster’s or PhD in AI, Computer Science, or a related technical field.\nExperience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).\nKnowledge of \"LLM-native\" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\nAdditional deployment readiness criteria (Google RFI benchmark)\nConversational AI & Agentic Depth: Production-grade experience architecting voice and agentic systems across the Google Enterprise CX ecosystem (Dialogflow CX, CX Agent Studio, SCRAPI, Agent Assist, CCaaS).\nVetted Technical Rigor: Formally assessed, top-decile engineering talent (e.g., Google AI/FDE Bootcamp certification or verified 80%+ benchmark assessments).\nTelecom Architecture Fluency: Demonstrated domain depth with telecom APIs, user authentication (UA), and enterprise business architectures (BAA).\nAutonomous Delivery & Multiplier Impact: Senior \"tiger team\" talent capable of driving execution independently while actively upskilling co-delivery partner teams.\nFDE, Gen AI:\nAs a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers.\nUnlike traditional advisory roles, you function as an \"innovator-builder,\" moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset.\n You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity.\nBy embedding with strategic accounts, you serve a dual purpose: providing \"white glove\" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.\nJob Responsibilities:\nServe as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.\nArchitect and code the \"connective tissue\" between Google’s AI products (Gemini-powered CX, Customer Engagement Suite, and Contact Center AI) and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.\nBuild high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.\nIdentify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.\nCo-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\nMinimum Qualifications:\nBachelor’s degree in engineering, Computer Science, a related field, or equivalent practical experience.\n5 years of experience with software development using Python or similar coding languages.\nExperience architecting AI systems on cloud platforms (e.g., GCP).\nExperience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.\nExperience taking production-grade AI-driven solutions from conception to launch for customers.\nExperience leading technical discovery sessions with customers.\nHands-on experience implementing and customizing Google’s Conversational AI product suite, including Conversational Agents (Gemini-powered CX), Customer Engagement Suite (CES), and Contact Center AI (CCAI).\nPreferred Qualifications:\nMaster’s or PhD in AI, Computer Science, or a related technical field.\nExperience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).\nKnowledge of \"LLM-native\" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\nAdditional deployment readiness criteria (Google RFI benchmark)\nConversational AI & Agentic Depth: Production-grade experience architecting voice and agentic systems across the Google Enterprise CX ecosystem (Dialogflow CX, CX Agent Studio, SCRAPI, Agent Assist, CCaaS).\nVetted Technical Rigor: Formally assessed, top-decile engineering talent (e.g., Google AI/FDE Bootcamp certification or verified 80%+ benchmark assessments).\nTelecom Architecture Fluency: Demonstrated domain depth with telecom APIs, user authentication (UA), and enterprise business architectures (BAA).\nAutonomous Delivery & Multiplier Impact: Senior \"tiger team\" talent capable of driving execution independently while actively upskilling co-delivery partner teams.\nThe pay range for this role is $150000- $170000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.\nThis Position is Open for Contracting as well and rate is $100/hr - $110/hr CTC.\n“Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at .”","description_format":"text","description_chars":9346,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology","Professional Services","Systems Integrators","Business Process Outsourcing (BPO)"],"lifecycle":[{"event":"open","at":"2026-10-18T16:28:59Z"}],"visa":[],"liveness":{"score":32,"band":"fade","label":"Fading","p_open":1,"p_active":0.703,"p_room":0.45,"age_days":8,"expected_fill_days":5,"reasons":["conf:0","velocity","win:tail","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":170000,"is_top_pay":false},"html_url":"https://alion.io/job/tech-mahindra-fde-gen-ai","json_url":"https://alion.io/job/tech-mahindra-fde-gen-ai.json","meta":{"generated_at":"2026-10-27T12:59:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":972,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5484},"rest":"https://alion.io/mcp/rest/get_company?id=5484"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftech-mahindra-fde-gen-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftech-mahindra-fde-gen-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftech-mahindra-fde-gen-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tech-mahindra-fde-gen-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftech-mahindra-fde-gen-ai"}]}