Core Responsibilities
AI Solution Design & Delivery
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Translate client and internal business requirements into feasibility-validated, buildable AI solutions — delivered, not just proposed.
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Design and deliver end-to-end AI solutions, including agentic workflows, AI integrations, automation pipelines, and LLM-powered applications for internal and external customers.
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Package delivered solutions into documented, reusable assets that can be applied across engagements.
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Engage directly with US-based clients in discovery sessions, workshops, and solution reviews as the technical AI subject matter expert.
Agentic AI, Automation & Workflow
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Design and build multi-agent AI systems using LangChain, LangGraph, CrewAI, or AutoGen.
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Architect MCP (Model Context Protocol) integrations connecting AI agents to enterprise tools, data sources, and business workflows.
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Build agentic automation that executes real, multi-step business processes with appropriate human-in-the-loop oversight.
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Apply prompt engineering, RAG pipelines, and vector database integrations to deliver accurate, context-aware AI solutions at production scale.
AI Integration & Application Modernization
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Design AI-assisted integration solutions that connect disparate systems, data sources, and platforms — platform-agnostic, applicable across diverse client technology environments.
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Apply AI approaches to accelerate application modernization, legacy migration, and systems integration across client technology stacks.
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Build reusable AI accelerators for code analysis, migration planning, and integration mapping that can be deployed across engagements.
Organizational AI Adoption & Enablement
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Support internal teams and external clients in adopting and operationalizing AI, from readiness assessment through practical implementation and change enablement.
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Design AI guardrails and governance practices, including data handling, human-in-the-loop controls, and responsible AI use that are appropriate for client-facing agentic systems.
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Build AI solutions that improve operational efficiency for both client organizations and Integrative's own internal teams and functions.
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Develop practical adoption frameworks, runbooks, and enablement materials that help non-AI practitioners use and sustain delivered solutions.
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Recruit and mentor junior AI engineers; collaborate with Integrative's enterprise architecture group to ensure AI solutions align with broader technology standards.
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Continuously monitor emerging AI tools, frameworks, and platform releases; evaluate applicability and bring relevant recommendations forward.
Required Skills & Competencies
Agentic AI & Orchestration
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LangChain and LangGraph — hands-on production experience required. MCP (Model Context Protocol) design and implementation required.
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Multi-agent frameworks (CrewAI, AutoGen, or equivalent) strongly preferred. Tool calling, memory management, context and state handling, RAG pipeline architecture.
AI Integration & Engineering Foundation
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Production-grade Python; direct LLM API integration (OpenAI, Anthropic, Azure OpenAI); vector databases (Pinecone, ChromaDB, FAISS, Azure AI Search).
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API-first and microservices architecture; enterprise integration patterns; prompt engineering at scale.
Microsoft & Azure AI Platform
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Azure AI Foundry, Azure OpenAI Service, Copilot Studio, Power Automate with AI Builder, Azure DevOps / CI-CD.
Delivery & Communication
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Demonstrated ability to deliver AI solutions that generate measurable business outcomes — for both internal teams and external clients.
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Clear solution documentation and business communication; fluent written and spoken English; confident in client-facing settings.
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Experience supporting organizational AI adoption — helping teams understand, use, and sustain AI solutions.
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Distributed (onshore/offshore) delivery experience preferred.
Qualifications & Experience
We are looking for demonstrated applied AI architecture capability — not simply total years in the workforce. Strong, recent, hands-on agentic AI delivery experience is preferred over a longer but more generic technology career.
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9–12 years of overall professional experience in software engineering, solution architecture, or technology consulting.
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Minimum 3 years in applied AI/GenAI engineering or architecture, in production environments — not academic or POC-only work.
About Integrative Systems:
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We are a reputable 20+-year-old software development and back-office optimization firm based in Chicago with clients for Microsoft applications (desktop, web, and mobile), IBMi, JDA MMS, and BPCS throughout North America and Canada.
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We have an exceptional work culture that is vibrant, and performance-driven – A workplace that you will aspire to be a member of.
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We proactively work towards creating an environment – wherein every associate is incentivized to think independently; bring to bear diverse and dynamic resources to resolve complex problems collaboratively. And most importantly, understand the meaning and growth in their work.
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We work with a belief that everyone associated with Integrative should grow professionally and personally. Therefore, we seek out what's best for our co-workers.
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We strive to create a workplace that 100 people would absolutely love, not a place that 1000 people kind of like. To achieve this, we try to create job experiences, not job opportunities.
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We know the importance of adding the 'FUN' in 'business fundamentals' at the right time - yet are a well-disciplined, profitable, well-oiled engine of growth. So, when we hire new talent, we lookout for someone who can balance work-life easily.
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We hire only the best. For a typical position, we sift through one hundred resumes and interview at least ten people. Make it in, and you'll be working with some of the best minds in the business. We understand that 'A' people attract 'A' people.
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We do not ride on anything short-term - no short-term market trends, short-term profits, or any short-cuts. Hence, we look for talent who usually believes in stability and commitment more than short-term benefits.
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We understand that when a person joins, he/she brings in various dimensions of their being physical, emotional, social, mental, and spiritual aspects to the workplace, not just vocational. And because we address all these dimensions for every associate's wellbeing, we create an environment that fosters optimism, mindfulness, authenticity, belongingness, meaning, and vitality. meaning, and vitality.
