FDE Applied AI

Tech Mahindra; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

Life insurance

Disability insurance

Paid time off

Holidays

Parental leave

Sick leave

Job summary

Tech Mahindra in the United States is seeking a Forward Deployed Engineer (FDE) in Applied AI to drive conversational AI initiatives. You will lead the transition from rapid prototypes to production-grade, enterprise-ready solutions, owning the end-to-end engineering lifecycle.

This high-travel role demands deep software, MLOps, and cloud expertise to deliver scalable AI systems and measurable business outcomes for strategic customers.

Qualifications

• Bachelor's degree in Engineering, Computer Science, IT, or related field.
• 5+ years of software development using Python or similar.
• Experience architecting and deploying AI solutions on cloud platforms (AWS/Azure/GCP).
• Experience deploying infrastructure using Terraform or similar IaC tools.
• Experience building full-stack applications that integrate with enterprise IT systems.
• Hands-on experience implementing Conversational AI, Virtual Assistant, or Customer Engagement solutions.
• Experience integrating AI solutions with enterprise APIs, databases, and authentication systems.

Responsibilities

• Lead development for complex Conversational AI and CX applications, turning prototypes into production-grade workflows.
• Architect and develop conversational solutions that integrate with enterprise systems and APIs.
• Build evaluation pipelines and observability frameworks for agentic workloads.
• Identify reusable accelerators, reference architectures, or product enhancements.
• Collaborate with customer engineering teams to establish development practices and ensure adoption.
• Lead deployment, troubleshooting, and scaling of AI-powered applications in enterprise environments.

Skills

Python

Cloud AI

Terraform

Full-stack

Conversational AI

Education

Bachelor's degree

Master's or PhD in AI/CS/Data Science

Tools

Terraform

AWS

Azure

GCP

Job description

At Tech Mahindra (Tech Mahindra | Connected World, Connected Experiences), we live the philosophy of connected world and connected experiences. We thrive on change that is powered by the intelligent symphony of technology and humans designing meaningful and sustainable experiences. Consumer ‘experiences’ are driving and disrupting industries like never before. Businesses must build seamless yet simple enterprises that collaborate, synergize, and drive the change. Change that connects us all and empowers us to deliver experiences that span across the digital, the physical, the convergent, and everything in between. That’s when truly connected experiences manifest.

Extraordinary is when experiences come together – a continuous convergence of digital technologies, touchpoints, and most importantly people. It’s time to reimagine, reinvent, and revolutionize business models & operations as well as to transform enterprises into living, breathing, and connected businesses. We are the Digital Change makers who strive to change the way the world, communities, businesses, and humans interact digitally. We are harnessing the power of change, brought in by technologies, that makes it the most exciting time to be alive in the human history. Our universe, as we build it, disrupt it, and redesign it, is powering the digital change.

Tech Mahindra represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and the Society to Rise. It has 150,000+ professionals working for 1000+ Global Customers (including Fortune 500 companies) in 90 Countries. We’re part of the esteemed Mahindra group, headquartered in India. Under a new CEO, Tech Mahindra is committed to a transformative journey with 'Scale @ Speed' as our guiding principle.

Location: Anywhere in US (Remote)

Role Summary:

As a Forward Deployed Engineer (FDE) in Applied AI, you are the Agent Engineer and the primary driver for customers’ most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from proof-of-concept to real-world business value and scalable, secure AI systems.

This is a high-travel, high-impact role focused on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for strategic customers on-site. The role requires deep expertise in software engineering, MLOps, and cloud infrastructure.

Job Responsibilities

• Serve as the lead developer for complex Conversational AI and CX applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable business outcomes.
• Architect and develop conversational solutions that provide seamless integration between enterprise Conversational AI platforms and customer infrastructure, including APIs, legacy systems, data repositories, and security frameworks.
• Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize complex agentic workloads, focusing on reasoning loops, tool selection, reliability, accuracy, latency, and production-grade security.
• Identify repeatable implementation patterns and technical challenges, converting them into reusable accelerators, reference architectures, or product enhancement recommendations.
• Partner with customer engineering teams to establish industry-standard development practices and ensure long-term solution success and user adoption.
• Lead the deployment, troubleshooting, optimization, and scaling of AI-powered applications in enterprise environments.

Minimum Qualifications

• Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field, or equivalent practical experience.
• 5+ years of software development experience using Python or similar programming languages.
• Experience architecting and deploying AI solutions on cloud platforms (e.g., AWS, Azure, GCP).
• Experience deploying infrastructure using Terraform or similar Infrastructure-as-Code (IaC) tools.
• Experience building full-stack applications that integrate with enterprise IT systems and customer-facing environments.
• Hands-on experience implementing and customizing Conversational AI, Virtual Assistant, Customer Engagement, or Contact Center AI solutions.
• Experience integrating AI solutions with enterprise APIs, databases, authentication systems, and business applications.

Preferred Qualifications

• Master's or PhD in Artificial Intelligence, Computer Science, Data Science, or a related technical field.
• Experience implementing multi-agent systems and advanced agentic patterns such as ReAct, self-reflection, planning, memory management, and tool orchestration.
• Experience debugging agent behavior, optimizing tool selection, and tracing distributed workflows across services to identify and resolve issues in real time.
• Experience connecting AI agents to enterprise knowledge bases and optimizing RAG architectures to improve accuracy and reduce hallucinations.
• Proven track record of troubleshooting live, high-traffic production systems during business-critical events.
• Ability to travel up to 50% of the time.

The pay range for this role is $150,000- $230,000 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.

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 [e-mail].