Conversational AI Solutions Architect

Black Rock Groups

California (MO)

On-site

USD 150,000 - 200,000

Full time

13 days ago
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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

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.

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