Senior AI Solutions Engineer — Enterprise Deployments

Mphasis

New York (NY)

On-site

USD 150,000 - 190,000

Full time

9 hours ago
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Job summary

Mphasis is seeking a Senior Web Developer acting as a Forward Deployed Engineer for Agentic AI & Enterprise Solutions. This hands-on, customer-facing role leads solution delivery from prototype to production on an enterprise AI platform, working with stakeholders and platform teams to ensure security, compliance, and measurable business outcomes.

The role requires expertise in backend development, APIs, distributed systems, and proficiency in modern languages with cloud experience.

Qualifications

  • Experience in backend development and distributed systems.
  • Proficiency in Python, Java, or Go.
  • Experience with CI/CD and cloud platforms.
  • Ability to work with stakeholders and translate needs into AI-enabled designs.
  • Experience with agentic AI frameworks.
  • Strong problem-solving and communication skills.

Responsibilities

  • Partner with stakeholders to understand problems and outcomes.
  • Translate business intent into AI-enabled designs and workflows.
  • Oversee end-to-end delivery from prototype to production.
  • Implement enterprise-grade integrations.
  • Drive rapid iteration with security and reliability.
  • Design agentic workflows on enterprise platforms.
  • Coordinate multi-agent systems for reasoning and execution.
  • Encode business logic into autonomous agents.
  • Optimize for accuracy, latency, cost, and reliability.
  • Advise customers and internal stakeholders.
  • Present architectures and outcomes to leaders.
  • Gather feedback to improve solutions.

Skills

Backend development
APIs
Distributed systems
Python
Java
Go
CI/CD
Cloud platforms
Agentic AI frameworks
System design
Communication skills

Tools

AWS
GCP
Azure
CI/CD pipelines

Job description

Mphasis is seeking a Senior Web Developer acting as a Forward Deployed Engineer for Agentic AI & Enterprise Solutions. This hands-on, customer-facing role leads solution delivery from prototype to production on an enterprise AI platform, working with stakeholders and platform teams to ensure security, compliance, and measurable business outcomes.

The role requires expertise in backend development, APIs, distributed systems, and proficiency in modern languages with cloud experience.

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