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Tier-1 employer, mid-level ML role, and metro location increase applicant competition.
AI and automation skills are transferable, but enterprise integration experience favors similar industries.
Explicit 5+ years requirement plus mandatory AI specialization and specific tool knowledge.
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Develop, deploy, and integrate AI-driven automation tools and workflows using platforms like Copilot Studio, UiPath, and SharePoint to accelerate enterprise-wide AI adoption.
Design and implement intelligent automation solutions by integrating AI agents with enterprise systems, external APIs, and identity platforms ensuring security and compliance.
Collaborate with cross-functional teams to support AI literacy, maintain governance, and continuously improve AI enablement solutions across business functions.
Bachelor’s or master’s degree in Computer Science, AI, Machine Learning, Data Science or related field.
Minimum 5 years of software development experience including at least 2 years in AI/ML engineering.
Hands-on experience with AI automation tools such as Copilot Studio, UiPath, SharePoint, and knowledge of cloud AI platforms like Azure AI Foundry, AWS Bedrock, or Google Vertex AI.
Familiarity with AI concepts, machine learning pipelines, context management (RAG, MCP), multi-agent systems, secure identity integrations (OAuth2, OIDC, SAML), and development languages (.Net, C#, Python, Java, SQL, PowerShell).
Experienced AI/ML engineer with strong expertise in automation and integration of AI tools in enterprise environments working across diverse systems and platforms.
Technically skilled in advanced AI frameworks including multi-agent workflows, context-aware systems, prompt engineering, and AI governance/security practices.
Capable of operating in agile, fast-paced settings delivering scalable AI solutions with a focus on secure, compliant, and measurable business impact.