Sr. AI Solutions Architect

AI Solutions Architect

Direct Placement | Legal Industry

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.

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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")

• 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…