Data Architect

Black Rock Groups; California (MO); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

medical

vision

dental

life

disability insurance

paid time off

Job summary

Tech Mahindra seeks a Forward Deployed Engineer in Applied AI to lead delivery of Conversational AI pilots at customer sites, turning rapid prototypes into production-ready, scalable, secure AI systems that deliver business value.

You will work with customer engineering teams to architect flows, build eval pipelines, and ensure end-to-end delivery across complex infrastructures, traveling to client locations as needed.

Qualifications

• 5+ years of software development experience (Python or similar).
• Experience architecting AI systems on cloud platforms (GCP or equivalent).
• Experience deploying resources via Terraform or similar tools.
• Experience building full stack applications interacting with enterprise IT infrastructures.

Responsibilities

• Serve as the lead developer for Conversational AI and CX applications, transitioning from rapid prototypes to production-grade workflows.
• Architect and code conversational flows linking AI products to live customer infrastructure, including APIs and security perimeters.
• Build high-performance evaluation pipelines and observability frameworks to optimize complex agentic workloads with low latency and security.
• Identify repeatable field patterns in AI stacks and convert them into reusable modules or product feature requests.
• Co-build with customer teams to instill industry-grade development practices for long-term project success.

Skills

Python

Cloud architectures

Terraform

Full stack

Enterprise IT

Education

Bachelor's degree

Job description

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 conversational 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 Conversational 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 Conversational AI and CX applications, 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 Conversational 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 $150k - $200k per annum including any bonuses or variable pay.

Tech Mahindra also offers benefits like

• medical
• vision
• dental
• life
• disability insurance
• paid time off (including holidays, parental leave, and sick leave, as required by law)

Thanks & Regards 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]