AI Solution Architect (Nationwide, Remote)

Huron Consulting Services • Denver, NY

22h • Remote

About The Position

Huron’s Business Advisory practice is building an applied AI capability to automate and enhance core restructuring workflows. This is a new position created to design, build, and deploy AI-powered solutions that directly support engagement delivery and business development. The role is hands-on and output-oriented: the person in this seat will be writing code, building integrations, and deploying working applications. This role requires someone who can operate at the intersection of software engineering and AI/ML application development. Financial advisory domain knowledge is a plus but not required. The ideal candidate is a builder who understands that the value of AI in professional services is measured by hours saved and errors prevented, not by model sophistication.

Requirements

• 8–12 years of professional experience in software engineering, AI/ML application development, or a closely related technical role with demonstrated production deployments.
• Strong proficiency in Python , including experience with API development, data processing pipelines, and file generation libraries (e.g., python-pptx, openpyxl, or equivalent).
• Hands-on experience building applications that consume LLM APIs (OpenAI, Anthropic, Azure OpenAI, or similar), including prompt engineering, structured output parsing, and context window management.
• Experience with document processing: PDF parsing, OCR, text extraction from structured and semi-structured documents.
• Working knowledge of cloud infrastructure, preferably AWS (the practice’s current deployment environment) and/or Microsoft Azure.
• Experience deploying applications, databases (OpenSearch, SQL), and LLM services within enterprise cloud tenants.
• Familiarity with version control (Git), CI/CD practices, and production deployment workflows.
• Strong written and verbal communication skills. This role requires translating between technical implementation details and business stakeholder language on a daily basis.
• Demonstrated resilience and patience in navigating complex organizational environments. This role requires building trust with senior professionals who may be skeptical of AI-driven changes to their workflows.
• The successful candidate will need to manage ambiguity, work through internal processes to obtain approvals and resources, and persist through organizational friction without becoming discouraged.

Nice To Haves

• Experience in financial services, professional services, or consulting environments. Candidates who understand restructuring, leveraged finance, or capital markets workflows will ramp significantly faster.
• Experience with Salesforce API integration and/or Salesforce development (Apex, SOQL, REST/SOAP APIs).
• Experience building multi-agent or agentic AI systems (e.g., using LangChain, LangGraph, CrewAI, AutoGen, or custom orchestration frameworks).
• Experience with RAG architectures, vector databases (Pinecone, Weaviate, Azure Cognitive Search), and embedding-based retrieval systems.
• Familiarity with Microsoft Power Platform (Power Automate, Power Apps, Power BI) for enterprise workflow automation and dashboarding.
• Experience with Seismic or similar enterprise content management platforms and their APIs.
• Background in data visualization, dashboard design, or business intelligence tooling.
• Experience with AWS services (EC2, Lambda, OpenSearch, Bedrock, S3) in addition to or in lieu of Azure experience.
• Experience coordinating with or managing external technology vendors and contract engineering teams to augment delivery capacity.

Responsibilities

• Design, build, and deploy end-to-end AI applications that automate structured professional workflows, including document processing, content generation, data extraction, and programmatic file creation (PowerPoint, Excel).
• Develop and maintain Python-based orchestration pipelines that coordinate LLM API calls, document parsing, external system integrations, and formatted output generation.
• Build multi-agent architectures for complex tasks requiring specialized, parallelized processing (e.g., quality control across formatting, numerical accuracy, grammar, and narrative consistency dimensions).
• Implement retrieval-augmented generation (RAG) pipelines for context-aware content selection from internal knowledge repositories.
• Build and maintain API integrations with enterprise platforms including Seismic (content management), Salesforce (CRM), AWS, and Microsoft Azure services.
• Work within Huron’s IT security and data governance framework to ensure all solutions comply with information security policies, particularly given the sensitivity of debtor financial data and court filings.
• Deploy solutions using approved infrastructure (AWS, Azure, and internal compute environments) and establish CI/CD pipelines, version control, and monitoring for production applications.
• Navigate Huron’s internal security review and tenant provisioning process to obtain and maintain approved cloud environments.
• Embed directly with Financial Advisory professionals and subject matter experts to deeply understand their workflows, identify automation opportunities, and translate business requirements into technical specifications.
• Coordinate with Huron’s Digital–AI team on platform approvals, architectural standards, and shared infrastructure.
• Evaluate centrally developed tools for applicability to Financial Advisory workflows and adapt where appropriate, while building practice-specific solutions independently where central tools do not yet exist.
• Coordinate with parallel AI initiatives in other Huron practices (e.g., Corporate Finance) to share learnings, leverage existing infrastructure such as approved AWS tenants, and avoid duplicative effort.
• Coordinate with IT, Salesforce administration, and Seismic administration teams to secure necessary API access, licensing, and technical prerequisites.
• Document solutions, maintain technical runbooks, and build internal knowledge transfer materials to reduce single-point-of-failure risk.
• Apply structured process analysis to identify high-effort, repetitive, or error-prone activities and redesign them using automation, agentic AI, and workflow orchestration.
• Own end-to-end delivery of AI-enabled process changes, including requirements definition, solution design, implementation, adoption support, and continuous optimization.
• Provide delivery leadership across AI initiatives, including prioritization, sequencing of work, and coordination across technical and non-technical stakeholders.
• Act as a point of accountability for solution outcomes, including realized efficiency gains, scalability, and operational sustainability.
• Monitor deployed solutions for quality, accuracy, and cost efficiency.
• Tune prompts, chunking strategies, and agent configurations based on production performance data.
• Stay current on developments in LLM capabilities, agent frameworks, and relevant tooling.
• Evaluate and recommend adoption of new tools or approaches where they offer material improvement.
• Identify additional automation opportunities within the practice and propose new initiatives with scoped business cases.

Benefits

• medical, dental, and vision coverage to employees and dependents
• a 401(k) plan with a generous employer match
• an employee stock purchase plan
• a generous Paid Time Off policy
• paid parental leave and adoption assistance
• Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed