Lead executive-level AI strategy sessions, discovery workshops, and stakeholder interviews to assess readiness and define transformation roadmaps
Design AI governance frameworks including tiered risk models, responsible AI policies, and governance-as-enabler narratives for enterprise clients
Help clients stand up AI Centers of Excellence — operating models, tooling selection, team structures, and change management
Translate AI capabilities into measurable business outcomes and build compelling executive business cases for AI investment
Contribute to practice development: IP assets, point-of-view papers, playbooks, and go-to-market offerings
Architect AI and agentic solutions appropriate to the client’s context — selecting the right approach across no-code, low-code, and pro-code patterns
Design and validate workflow approaches (e.g. Intelligent Document Processing), agent orchestration patterns, tool-use frameworks, and LLM evaluation strategies
Assess and advise on data foundations: data lakes, lakehouses, and modern data platforms (Snowflake, Databricks, Fabric, AWS Glue)
Serve as a technical SME during pre-sales, supporting scoping, solution design, and proposal development alongside sales teams
Manage project workstreams and coordinate cross-functional client and internal teams to ensure quality of consulting deliverables
Own engagement health: scope, timeline, risk, and client satisfaction across concurrent projects
Represent RapidScale at industry events and conferences as part of the AI and Data practice’s market presence

Requirements

Bachelor’s degree and 6 years’ experience in Software Architect/Engineer roles OR a Master’s degree and 4 years’ experience Software Architect/Engineer roles OR a Ph.D. and 1 years’ experience in Software Architect/Engineer roles OR 10 years’ experience in Software Architect/Engineer roles.
At least 5 years in technology consulting with a mix of strategy and technical delivery experience; Big 4 or equivalent consulting background strongly preferred
Demonstrated experience leading AI and Data strategy engagements for enterprise clients from discovery through roadmap delivery
Hands-on expertise with at least one major cloud AI platform (AWS Bedrock/SageMaker, Azure AI & Copilot Studio, Google Cloud Vertex AI) and working familiarity with a second
Practical knowledge of agentic AI: agent orchestration, tool use, memory management, RAG pipelines, LLM evaluation, and observability of automated workflows
Experience mapping business processes and selecting appropriate implementation patterns (no-code, low-code, pro-code) based on client capability and context
Strong executive communication and facilitation skills — equally comfortable in a boardroom strategy session and a technical whiteboard
Experience building or advising on AI governance frameworks

Benefits

The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations
seven paid holidays throughout the calendar year
up to 160 hours of paid wellness annually for their own wellness or that of family members
Eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
Benefits may include health care insurance (medical, dental, vision)
retirement planning (401(k))

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI strategyAI governance frameworksIntelligent Document Processingagent orchestrationdata lakeslakehousesAWS BedrockAzure AIGoogle Cloud Vertex AIno-code

Soft Skills

executive communicationfacilitationstakeholder managementchange managementproject managementcross-functional coordinationclient satisfactionstrategic thinkingproblem-solvingteam leadership