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# Agentic AI Solution Architect

- **Company:** Black Rock Groups
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $220,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Business Systems, Cloud Engineering, Computer Programming, Python (Programming Language), Knowledge Management, Knowledge-Based Systems, Search Technologies, Software Deployment, Software Engineering, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Agentic-AI, AI Platforms, Kubernetes, CrewAI, AutoGen, Data Management, Machine Learning Operations, Virtual Agents, Automation Anywhere, Api Management
- **Published:** October 18, 2026
- **Apply:** https://www.careerjet.com/jobad/usfc2603b37b1e2b26c0fbdfe78e970f94

## About the Role

* 8+ years of software engineering and solution architecture experience.
 * Strong hands-on programming expertise in Python and Java.
 * Proven experience designing and implementing Agentic AI and Multi-Agent architectures.
 * Deep expertise with orchestration frameworks such as LangGraph, CrewAI, AutoGen, or comparable AI workflow platforms.
 * Strong understanding of RAG architectures, vector databases, retrieval engineering, and knowledge systems.
 * Experience building autonomous AI workflows with enterprise-grade API integrations.
 * Hands-on experience with AI observability, evaluation frameworks, governance, security controls, and responsible AI practices.
 * Strong understanding of cloud-native architecture and enterprise AI deployment patterns.
 * Ability to translate business challenges into scalable AI architecture and technology solutions.
 * Experience leading architecture discussions with business, product, and engineering stakeholders.

Preferred Qualifications

 * Experience designing AI solutions for Finance, Accounting, Close Management, or Enterprise Operations.
 * Understanding of Month-End Close (MEC) and Year-End Close (YEC) processes.
 * Experience architecting enterprise AI solutions across regulated environments.
 * Customer-facing consulting, solution architecture, or advisory experience.
 * Experience with cloud platforms such as Azure, AWS, or GCP.
 * Familiarity with AI governance, compliance frameworks, and enterprise security patterns.
 * Experience leading architecture reviews and technical strategy discussions with executive stakeholders., * Solution Architect who remains hands-on with development.
 * Strong background in Enterprise AI, GenAI, and Agentic AI platforms.
 * Capable of owning architecture decisions while actively building prototypes and production solutions.
 * Comfortable engaging with C-level stakeholders, business leaders, and engineering teams.
 * Proven track record of delivering scalable AI solutions that drive measurable business outcomes.

## Description

We are seeking a highly skilled Agentic AI Solution Architect with deep expertise in Multi-Agent Systems, Agentic AI, Large Language Models (LLMs), Python, and Java to lead the design and implementation of enterprise-scale AI solutions.
The ideal candidate will combine strong architectural leadership with hands-on development experience to build intelligent, scalable, and secure AI platforms that transform business processes. This role requires expertise in designing multi-agent ecosystems, orchestrating autonomous workflows, integrating enterprise systems, and establishing AI governance frameworks for production environments. Key Responsibilities

 * Architect and design enterprise-grade Agentic AI and Multi-Agent Systems for complex business use cases.
 * Define scalable AI solution architectures using LLMs, RAG, Agentic workflows, and orchestration frameworks.
 * Lead technical discovery workshops to identify AI transformation opportunities and translate business requirements into solution blueprints.
 * Design and implement agent orchestration using frameworks such as LangGraph, CrewAI, AutoGen, or similar platforms.
 * Establish reference architectures for AI observability, governance, security guardrails, compliance, and monitoring.
 * Architect integrations between AI agents and enterprise applications, APIs, data platforms, and business systems.
 * Provide technical leadership across the full solution lifecycle, from architecture and prototype development through enterprise deployment.
 * Guide engineering teams in developing, optimizing, and scaling AI-driven applications.
 * Define best practices for retrieval engineering, vector search, knowledge management, and RAG architectures.
 * Drive continuous improvement of AI solutions through performance analysis, user feedback, and operational insights.