Senior AI Software Engineer

Note

The job is a remote job and is open to candidates in USA. Mphasis is seeking a Senior AI Software Engineer to bridge enterprise customers and product engineering teams through the deployment and operationalization of AI-powered solutions. The role focuses on Azure AI platforms, agentic workflows, custom integrations, AI transformation enablement, platform observability, and executive communication.

Responsibilities

• Work directly with customer stakeholders to understand business challenges and identify AI transformation opportunities
• Translate business requirements into technical solutions and implementation roadmaps
• Conduct workshops, discovery sessions, architecture reviews, and solution demonstrations
• Act as a trusted advisor to business and technology leadership
• Lead deployment and adoption of Azure AI Platform capabilities
• Configure and operationalize Azure OpenAI, AI Gateway, Agentic AI frameworks, and enterprise integrations
• Build reusable accelerators, deployment patterns, and implementation playbooks
• Support onboarding of business units and engineering teams
• Develop custom integrations, APIs, workflows, and automation solutions
• Build proof-of-concepts (PoCs), MVPs, and production-ready solutions
• Integrate AI services with Jira, ServiceNow, GitLab, Azure DevOps, Confluence, and enterprise applications
• Customize agentic workflows and orchestration frameworks to meet client-specific requirements
• Drive adoption of AI-powered SDLC capabilities
• Requirements-to-Code Automation
• Test Automation
• Developer Productivity Acceleration
• Intelligent Incident Management
• Knowledge Assistants and Copilots
• AI-Driven Operations (AIOps)
• Implement monitoring, observability, and operational excellence practices
• Define KPIs and adoption metrics
• Troubleshoot production platform issues and partner with engineering teams on remediation
• Leverage AIOps capabilities to improve reliability, performance, and operational efficiency
• Gather customer feedback and communicate requirements to product engineering teams
• Identify gaps, enhancement opportunities, and platform scalability requirements
• Contribute to product roadmap discussions and feature prioritization
• Create reference architectures and best practices
• Present solution architecture, adoption progress, ROI metrics, and transformation outcomes to customer leadership
• Prepare executive-ready presentations, architecture documents, and implementation updates
• Serve as a key liaison between customer stakeholders, engineering teams, and program leadership

Skills

• 8–15 Years
• * Azure Cloud
• * Azure OpenAI
• * Azure AI Foundry
• * Azure API Management
• * Kubernetes / AKS
• * Microservices Architecture
• * REST APIs
• * Python, C#, Java, or Node.js
• * GitHub / GitLab
• * CI/CD Pipelines
• * Infrastructure as Code (Terraform, Bicep)
• * Generative AI
• * LLM Integration
• * Prompt Engineering
• * RAG Architectures
• * AI Agents and Workflows
• * MCP Concepts
• * Vector Databases
• * AI Governance
• * Azure Monitor
• * Application Insights
• * OpenTelemetry
• * Logging & Telemetry
• * Incident Management
• * Root Cause Analysis
• * Automation & Self-Healing Concepts

Company Overview

• Mphasis is an IT services company that offers blockchain, cyber security, product engineering, DevOps, and other services. It is a sub-organization of Blackstone. It was founded in 1998, and is headquartered in Bangalore, Karnataka, IND, with a workforce of 10001+ employees. Its website is https://www.mphasis.com.

Company H1B Sponsorship

• Mphasis has a track record of offering H1B sponsorships, with 726 in 2026, 1654 in 2025, 1413 in 2024, 1336 in 2023, 1639 in 2022, 1415 in 2021, 1251 in 2020. Please note that this does not guarantee sponsorship for this specific role.