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Salary
$150k – $170k per year
Location
In office (Chantilly, 10am - 8pm)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 786 · for this role: 210 · green card filings: 5

Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026. Tech Mahindra scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Tech Mahindra is a prominent Indian multinational information technology services and consulting enterprise specializing in digital transformation, cloud modernization, business process re-engineering, and network services. Headquartered in Pune, Maharashtra, India (with its registered office in Mumbai), the company is a flagship entity of the diversified Mahindra Group conglomerate. Established in 1986 (initially as Mahindra British Telecom), it operates across dozens of countries with a global delivery footprint serving enterprise clients in telecommunications, banking and financial services, healthcare, automotive, and retail. The organization is particularly recognized for its deep engineering heritage in telecommunications and 5G network integration, offering end-to-end solutions spanning artificial intelligence, enterprise application management, customer experience (CX), and next-generation connectivity infrastructure.
Backed by Seafund

Job Description

  • Skill Set :

    AI/ML,LLM,Ccaas,CCAI,Gemini-powered CX,Applied AI,Gemini AI,FDE AppliedAI,Agent Engineer

  • Total Experience :

    10.00 to 20.00 Years

  • No of Openings :

    1

  • Job Post Date :

    12/11/2026

  • Job Expiry Date :

    31/12/2026

  • Domain :

    IT

  • Location :

    CHANTILLY [United States]

  • Job Reference No :

    4117633

Job Summary

Role: FDE Applied AI

Location: San Jose, CA

As a Forward Deployed Engineer (FDE) in Applied AI, you are the "Agent Engineer" and the primary driver for our customers' most critical AI initiatives. You take initial prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from "Art of the Possible" to real-world business value and scalable, secure AI systems. This is a high-travel, high-impact role focused on leading technical delivery for AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. This role requires a deep understanding of software engineering, Machine Learning Operations, and cloud infrastructure.

Job responsibilities

  • Serve as the lead developer for complex Google Gemini, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
  • Architect and code conversational flows that are not just functional but optimized for the "connective tissue" between Google’s Gemini AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters.
  • Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
  • Identify repeatable field patterns and technical "friction points" in Google’s AAI stack, converting them into reusable modules or product feature requests for Engineering teams.
  • Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Minimum qualifications

  • Bachelor’s degree in engineering, Computer Science, a related field, or equivalent practical experience.
  • 5 years of experience with software development using Python or similar coding languages.
  • Experience architecting AI systems on cloud platforms (e.g., GCP).
  • Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
  • Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects.

Preferred qualifications

  • Master’s or PhD in AI, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks like ReAct and self-reflection.
  • Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.
  • Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.
  • Track record of troubleshooting live, high-traffic systems during critical windows.
  • Ability to travel up to 50% of the time.

The 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.

This Position is Open for Contracting as well and rate is $100/hr - $110/hr CTC.

“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 [email protected].”

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