Data Science - Gen AI/Agentic Platform Specialist

Straive • Full-time • Santa Clara, California, United States • 2d ago

Straive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust data analytics and AI capabilities.

With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.

Website: https://www.straive.com/

Job Title: Data Science - Gen AI/Agentic Platform Specialist

Location: Santa Clara, CA (Onsite 5 days/week)

Job Type: FTE

Role Description:

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.

Led end-to-end delivery of data science and GenAI solutions, managing execution across business stakeholders, data engineering, data science, DevOps and UI teams
Lead the design, development, and deployment of AI agents using Microsoft Copilot Studio, Claude agent frameworks, and enterprise LLM orchestration patterns.
Guided teams on LLM usage patterns, including prompt design, grounding strategies, and Retrieval-Augmented Generation (RAG)
Collaborate with AI architects and MLOps teams to ensure Responsible AI, data governance, security, and access controls
Translate complex workflows into automated, modular, event driven pipelines, integrating with REST APIs, Power Platform connectors, and enterprise data services.
Define and enforce architecture standards for agentic systems, including prompt engineering patterns, tool calling schemas, grounding flows, and RAG pipelines.
Implement agent observability using logging, telemetry instrumentation, latency/error metrics, and automated remediation workflows across environments.
Partner with engineering to shape MCP based agent architectures, integration layers, authentication flows (OAuth/Entra), and system to system messaging.
Drive governance automation by operationalizing approval gates, compliance workflows, document lifecycle controls, and audit readiness triggers.
Manage project delivery through Agile/Scrum or hybrid PMM models, ensuring sprint alignment, dependency tracking, risk quantification, and release orchestration.
Define KPIs and operational dashboards for automation ROI (cycle time reduction, accuracy, governance adherence, agent uptime).
Oversee end‑to‑end system integration with ServiceNow, SharePoint, Teams, Power Automate, Azure APIs, and other enterprise platforms.
Connect Copilot Studio agents to enterprise data sources (SharePoint, Dataverse, SQL, SAP) using prebuilt or custom connectors.
Collaborate with architects, MLOps, and security teams to ensure solutions meet standards for Responsible AI, data governance, access controls, and model safety.

Preferred Qualifications:

Proven Copilot Studio Expertise: Hands-on experience building agents in Microsoft Copilot Studio.
GenAI & LLM Knowledge: Strong understanding of Large Language Models (LLMs), prompt engineering, and RAG (Retrieval-Augmented Generation) principles.
Project Management: Proven ability to deliver technical projects in Agile environments, managing timelines and stakeholder expectations.
Familiarity with frameworks like LangChain, AutoGen, CrewAI, or OpenAI functions/assistants API".

Educational Qualifications:

Bachelor’s degree in Computer Science, Data Science, Engineering, Information Technology, or a related quantitative/technical field.
Master’s degree or MBA with a focus on Artificial Intelligence, Machine Learning, or Technology Strategy.

This job description is not intended to cover or contain a comprehensive listing of all responsibilities, duties, or activities that are required. Responsibilities, duties, and/or activities may change, or new ones may be added at any time with or without notice.

If you are a motivated professional with a passion for delivering impactful solutions, we’d love to hear from you. Apply today to be part of a dynamic and forward-thinking team at Straive.

“Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.

We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.”

Straive

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