IT Senior Consultant | Product Design & Development | Product Design & Development

POC: Sam Chavez

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Job Title: Senior Consultant Product Design & Development Product Design & Development Principal Product Manager AI
Work Location & Reporting Address: San Francisco CA 94133 (Onsite-Hybrid. Will consider candidates willing to relocate to client s location)
Contract duration: 6
MAX VENDOR RATE: $80 per hour max
Target Start Date: 10 Jun 2026
Does this position require Visa independent candidates only Yes

Must Have Skills:
Product Management
B2B Experience

Nice to Have Skills:

Detailed Job Description:
Principal Product Manager (AI)

Design and Deploy Agentic AI Systems
Architect multi-step tool-using agent workflows across WSI s AI platform ecosystem (ChatGPT Enterprise Claude Gemini Salesforce Agentforce)
Design orchestration layers tool/MCP integrations and human-in-the-loop checkpoints for agentic commerce and operational workflows
Evaluate when agentic approaches are warranted versus simpler prompt-based or rule-based solutions and hold that line
Establish reliability evaluation and failure-handling standards for production agentic systems

Redesign Workflows for AI-Native Operation
Partner with brand and functional teams to map current-state workflows and identify meaningful AI transformation opportunities
Apply structured decision-making to determine the right solution: agentic AI prompt-based automation traditional RPA or process redesign
Co-design workflows that are scalable auditable and owned by the business not dependent on the AI Strategy team to operate

Apply Cross-Platform AI Expertise
Operate fluently across WSI s deployed AI platforms: ChatGPT Enterprise (OpenAI) Claude (Anthropic) Gemini (Google) and Salesforce Agentforce
Evaluate platform strengths and limitations per use case reasoning depth context handling tool use latency cost and governance constraints
Contribute to platform vendor relationships as a practitioner peer not just a buyer: push back co-develop and represent enterprise requirements
Stay current on MCP (Model Context Protocol) emerging agent frameworks and evolving platform capabilities

Enable Teams to Own Their AI Capabilities
Co-build solutions with business stakeholders; never build in isolation
Develop playbooks templates and repeatable patterns teams can evolve independently
Establish clear ownership and transition models; avoid creating dependency by design
Measure success by adoption independence and sustained operation not by throughput of solutions delivered

Build Selectively and Ship to Production
Develop lightweight automations agent workflows and prompt systems where required to unblock progress
Ensure every solution has a defined path to production clear ownership monitoring and maintenance
Balance accuracy cost latency reliability and auditability in every design decision

Drive Scalable AI Adoption and Governance
Define and evolve enterprise AI tooling standards access controls and data governance practices
Partner with Engineering Security Legal and Finance on AI governance frameworks and risk management
Support client s enterprise AI skills program: lead workshops develop training and build AI fluency across functional teams

Minimum Years of Experience:
7 years

Certifications Needed:
None

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

Interview Process (Is face to face required)
Virtual

Any additional information you would like to share about the project specs/nature of work: Project Code :WSI Teradata Azure Operations L1 and L2