Sr. AI Solutions Architect

AI Solutions Architect Direct Placement | Legal Industry Position Overview This is a new, high‑impact role created by a recently appointed CIO to accelerate how the organization applies AI, data, and automation across the business. The team is hiring two AI Solutions Engineers to serve as trusted technical partners to senior leaders and practice groups. The AI Solutions Engineer sits at the intersection of strategy, solution design, and hands‑on execution. This role is ideal for someone who can diagnose ambiguous business problems, shape them into clear technical approaches, and prototype and guide delivery—even when execution is shared with specialized teams. Success in this role requires enterprise‑scale experience, strong stakeholder presence, and a demonstrated ability to translate business needs into realistic, production‑ready AI solutions. This is not a traditional consulting role, nor a pure engineering or data science position. It is a high‑visibility, high‑trust role for someone who can both think strategically and be hands on. Why This Role Exists Newly created by a forward‑leaning CIO with a background in financial services Designed to push beyond experimentation and into repeatable, scalable AI patterns The organization is still shaping how this role operates, offering significant influence and ownership The CIO values doers, not slide‑deck consultants—execution credibility matters Key Responsibilities AI Intake, Discovery & Problem Framing Act as the front door for AI and automation demand, working directly with executives and senior stakeholders Translate loosely defined problems into clear, structured solution approaches Define success criteria, constraints, and feasibility early—before heavy delivery begins Apply strong judgment to determine what should be built, how, and whether it should be built at all Solution Architecture & Prototyping Design AI‑driven solutions spanning data, workflow automation, and intelligent assistants Build rapid prototypes, pilots, or proofs of concept to validate value and technical approach Recommend appropriate solution patterns (agentic AI, RAG, hybrid architectures, workflow automation) Partner with execution teams to move validated concepts into production AI & Data Engineering (Hands‑On) Work directly with AI models, prompts, and agents—this role is not advisory only Apply machine learning concepts to solution design (model selection, tradeoffs, lifecycle considerations) Design and refine prompt frameworks, agent memory/context strategies, and evaluation approaches Evaluate and onboard new frameworks and tools when there is clear business value Agile Delivery & Backlog Ownership Translate business needs into clear requirements, user stories, and delivery backlogs Maintain delivery momentum through continuous refinement and prioritization Ensure solutions are sprint‑ready and aligned with real operational workflows Stakeholder Partnership & Adoption Serve as a trusted partner to senior leaders, practice teams, and technology groups Communicate complex technical concepts in plain, executive‑ready language Support user acceptance testing, rollout planning, and adoption efforts Ensure solutions meet governance, documentation, and operational standards Required Experience & Profile Professional Experience 5+ years in Solutions Engineering (most critical requirement) Experience delivering AI, automation, or data solutions in enterprise‑scale organizations Prior background as a business analyst, process analyst, or similar early in career is a plus Multi‑client or cross‑organization delivery experience strongly preferred Core Capabilities Extremely strong communication and stakeholder management skills Ability to operate comfortably with senior executives and ambiguous problem spaces Proven track record of taking ideas from concept to working solution High accountability, urgency, and ownership mindset ("high motor") Technical Skills & Knowledge AI & Machine Learning Hands‑on experience building AI‑based solutions, not just managing projects Solid understanding of: Machine learning concepts and model selection Agentic AI and orchestration patterns Prompt engineering and evolving prompt frameworks (e.g., DSPy or similar approaches) Retrieval‑augmented generation (RAG), including hybrid or agent‑based variations Ability to assess feasibility, risk, and ROI of AI use cases Platforms & Tools Cloud experience across Azure, AWS, and/or GCP (breadth > depth in a single platform) Familiarity with Microsoft 365 and Power Platform (Power Automate / Power Apps) is a plus Comfort adapting across multiple technical environments is more important than any one tool Data & Integration Working proficiency in SQL (able to inspect data, troubleshoot issues, validate assumptions) Understanding of APIs, data flows, and enterprise integration patterns Experience designing or implementing workflow automation solutions Programming (Working Proficiency in One or More) Python (automation, data shaping, light analysis) SQL JavaScript / TypeScript PowerShell Java, Go, or REST/JSON fluency Education Bachelor’s degree preferred (Information Systems, Computer Science, Business, or related field) Equivalent professional experience will be considered Location & Work Arrangement Primarily remote, with a preference for proximity to major U.S. offices for visibility and collaboration Must be located in approved U.S. states and cities Occasional in‑office presence as needed for key meetings Compensation & Benefits Salary: $175,000 - $205,000 Comprehensive benefits package including medical, dental, vision, and retirement plans #J-18808-Ljbffr