JobID: 2011
Company Name
Full time Role at a AIML.com’s Partner Client Company
Location
Santa Clara (California)
Application Link
To apply, please fill this form: https://forms.gle/YK7Xuvv4TgkK4Mkt6
About the Role:
Hands-on experience delivering enterprise Data Science and GenAI solutions. Leads Agile execution across business, data engineering, data science, and UI teams while personally designing Copilot Studio agents and Power Automate workflows to drive productivity, automation, and measurable business outcomes.
Key Responsibilities:
- Led end-to-end delivery of Data Science and GenAI solutions, managing execution across business stakeholders, data engineering, data science, DevOps, and UI teams.
- Led the design, development, and deployment of AI agents using Microsoft Copilot Studio, Claude agent frameworks, and enterprise LLM orchestration patterns.
- Guided teams on LLM best practices, including prompt engineering, grounding strategies, and Retrieval-Augmented Generation (RAG).
- Collaborated with AI architects and MLOps teams to ensure Responsible AI, data governance, security, and access controls.
- Translated complex workflows into automated, modular, event-driven pipelines, integrating REST APIs, Power Platform connectors, and enterprise data services.
- Defined and enforced architecture standards for agentic systems, including prompt engineering patterns, tool-calling schemas, grounding flows, and RAG pipelines.
- Implemented agent observability using logging, telemetry instrumentation, latency/error tracking, and automated remediation workflows.
- Partnered with engineering teams to design MCP-based agent architectures, including integration layers, authentication flows (OAuth/Entra), and system-to-system messaging.
- Drove governance automation by operationalizing approval gates, compliance workflows, document lifecycle controls, and audit readiness processes.
- Managed project delivery using Agile/Scrum and hybrid PM methodologies, ensuring sprint alignment, dependency tracking, risk management, and release orchestration.
- Defined KPIs and built operational dashboards to measure automation ROI (cycle time reduction, accuracy, governance adherence, and agent uptime).
- Oversaw end-to-end system integrations across enterprise platforms such as ServiceNow, SharePoint, Teams, Power Automate, and Azure APIs.
- Enabled Copilot Studio agents to connect with enterprise data sources (SharePoint, Dataverse, SQL, SAP) via prebuilt and custom connectors.
- Partnered with architects, MLOps, and security teams to ensure solutions met standards for Responsible AI, data governance, access controls, and model safety.
Key qualifications required:
- 4-8 years of experience preferred
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field
- Copilot Studio Expertise: Hands-on experience building AI agents using Microsoft Copilot Studio.
- GenAI & LLM Knowledge: Strong understanding of Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG)
- Project Management: Proven ability to deliver technical projects in Agile environments, managing timelines and stakeholder expectations.
- Frameworks & Tools: Familiarity with frameworks such as LangChain, AutoGen, CrewAI, and OpenAI Functions/Assistants API.
This role is exciting because:
- High-impact role on cutting-edge AI/ML initiatives with leading global financial and data-driven enterprises.
- Opportunity to shape next-generation GenAI solutions alongside an elite engineering and data science team.
- Competitive compensation and benefits package.
Submission Deadline
Until the position is filled
Questions?
Reach us at careers@aiml.com
About AIML Inc. Partner company
This opening is with a Global Consulting Firm working on cutting edge GenAI applications
About AIML.com
AIML.com is a global AI/ML education platform with the largest repository of ML interview prep content, including 300+ articles and 60+ quizzes. With a global footprint, AIML.com is visited daily by learners from over 100 countries, helping them strengthen their machine learning expertise.
AIML.com also partners with top companies to connect talent with high-impact job opportunities. The above opening is with our client partner company.
Date: April 2, 2026