Senior AI Engineer - Agentic AI & Data Intelligence

Summary: Leads the strategy, development, evaluation, and delivery of Agentic AI, Generative AI, and Enterprise Data Intelligence products. Defines product roadmaps, evaluates AI solutions, and translates capabilities into secure, scalable enterprise products.

Senior AI Engineer – Agentic AI & Data Intelligence

Location: Onsite in Phoenix, AZ, USA

Job Summary

We are seeking an experienced Senior AI Engineer to lead the strategy, development, evaluation, and delivery of next-generation AI products focused on Agentic AI, Generative AI, and Enterprise Data Intelligence.

The ideal candidate will combine strong technical expertise with strategic product leadership to identify emerging AI technologies, define product roadmaps, evaluate AI solutions, and translate innovative capabilities into secure, scalable, and measurable enterprise products.

The role requires hands-on experience with AI agents, LLMs, RAG, enterprise search, data platforms, workflow orchestration, and AI evaluation frameworks. The candidate will collaborate closely with engineering, architecture, data science, data engineering, security, and business teams to move AI capabilities from research and proof of concept (PoC) through production and enterprise adoption.

Key Responsibilities

Define product strategy, vision, and roadmaps for Agentic AI, Generative AI, and Data Intelligence platforms.

Research emerging AI technologies, multi-agent systems, LLMs, reasoning models, tool calling, and workflow orchestration frameworks.

Identify enterprise use cases for AI-driven workflow automation, intelligent decision-making, and natural-language interaction with enterprise data.

Define technical product requirements, APIs, integration patterns, product capabilities, and success metrics.

Partner with engineering, architecture, data science, and data engineering teams to design and deliver scalable AI solutions.

Define reusable AI platform capabilities, including agent orchestration, context management, memory, tool integration, and human-in-the-loop workflows.

Evaluate third-party, open-source, and cloud-based AI solutions and drive build-versus-buy-versus-partner decisions.

Develop AI capabilities involving structured and unstructured data, RAG, semantic search, vector databases, knowledge graphs, and enterprise data retrieval.

Support hands-on PoCs and prototypes involving single-agent and multi-agent systems, REST APIs, MCP, and enterprise data integrations.

Establish evaluation frameworks and benchmarks to measure AI accuracy, task completion, reasoning quality, latency, cost, reliability, and user experience.

Define experiment hypotheses, evaluation datasets, acceptance criteria, and production-readiness requirements.

Collaborate with security, privacy, risk, and governance teams to ensure responsible AI implementation and enterprise compliance.

Prepare technical assessments, product requirement documents (PRDs), architecture recommendations, technology evaluations, and executive presentations.

Communicate product strategy, technical trade-offs, investment priorities, and measurable business outcomes to technical teams and senior leadership.

Drive AI products through the complete lifecycle, from research and experimentation to PoC, production deployment, and enterprise-scale adoption.

Required Qualifications

Significant experience in AI Product Management, Data Platform Product Management, or related technical roles.

Strong understanding of Generative AI, LLMs, Agentic AI architectures, RAG, enterprise search, and modern data platforms.

Knowledge of AI agent concepts, including planning, reasoning, tool/function calling, orchestration, memory, and context management.

Experience with enterprise data, REST APIs, JSON, Python or similar scripting languages, cloud platforms, and AI/ML services.

Experience defining technical product requirements and collaborating with engineering, architecture, data science, and data engineering teams.

Proven ability to evaluate emerging technologies through PoCs, experimentation, benchmarking, and structured technical analysis.

Experience delivering enterprise AI agents, copilots, intelligent workflow automation, or AI-powered data products.

Familiarity with agent development frameworks, orchestration tools, and interoperability standards such as Model Context Protocol (MCP).

Understanding of vector databases, embedding models, semantic layers, knowledge graphs, data catalogs, and metadata management.

Experience developing LLM and Agentic AI evaluation frameworks using automated and human evaluation methods.

Knowledge of enterprise AI governance, data security, privacy, responsible AI, identity and access management, and observability.

Excellent communication, analytical, stakeholder management, and product leadership skills.

Preferred Qualifications

Experience deploying AI agents and multi-agent systems in enterprise environments.

Familiarity with LangChain, LangGraph, Semantic Kernel, or similar agent orchestration frameworks.

Experience with cloud AI services such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.

Knowledge of enterprise search, vector search, knowledge retrieval, and retrieval-augmented generation architectures.

Experience with AI benchmarking, agent observability, guardrails, and production performance monitoring.

Demonstrated ability to translate emerging AI technologies into practical business solutions and measurable outcomes.

Compensation: $40.00 - $50.00 per hour

About

In the perfect storm of technology forces shaping the business world, the question is not whether companies need to adapt to stay competitive but which tech partner to trust for long-term business improvement and transformation needs.

That’s why iShare was founded: to be that credible IT partner that cuts through the buzzword clutter to deliver real value by real people. And that starts with doing the basics right.

Who We Are

Based in New Jersey, iShare is a boutique IT consulting firm with strategic advisory, development, and staffing services designed for specific industry verticals. iShare was founded to fill a real market need – with so much noise about cloud, big data, and information security, companies today are adopting software product after product and losing sight of which they need and why, while what they really need is credible consulting that takes the time to understand their company’s unique scenario and requirement, and then architect a solution accordingly.

Recognizing this gap, senior industry executives put their credibility on the line to form iShare and ensure they create a fulfilling experience with lasting value for all stakeholders – customers, employees and partners. iShare leadership team has 20+ years average IT experience and is well-rounded in technology, operations, account and customer management. Our experience spans C-Suite positions with Fortune 100 firms as well as mid-tier firms. Our background includes stints at multibillion-dollar ITO / BPO firms as well as startups.