Vice President of Artificial Intelligence
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title as heading. Must not include Job ID etc. Remove boilerplate like EEO, etc. Must preserve all substantive info.
We need to parse the posting.
Sections present:
- About the role: The description after "The Role" paragraph: "We are seeking a VP of AI Solutions to lead the design, development, and implementation of enterprise AI solutions..." That's about the role. Could be "About the role". We'll put that as About the role
with
content. - Responsibilities: The "Work You’ll Do" bullet list. That's responsibilities. Use
- .
- Requirements: The "Requirements" list (starting with "10+ years of relevant experience...") includes bullet points. That's requirements.
- Qualifications: Possibly "Preferred Requirements" could be qualifications? The instruction says we can have Qualifications section. The posting has "Preferred Requirements". We could treat that as Qualifications. Or we could combine with Requirements? Better to separate: Requirements (mandatory) and Qualifications (preferred). We'll output both.
- Skills: Not explicitly listed as a separate section, but many skill items are within Requirements. Could we create a Skills section? The instruction says only include if posting has real specific content for it. There's no dedicated "Skills" heading, but we could infer skills from requirements. However better not to invent a Skills section unless there is explicit content. The posting does not have a separate Skills section. So we omit Skills.
- Benefits: The "Compensation & Benefits" paragraph includes benefits list: Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays, Own Your Day flexible work policy, Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match, Generous paid parental leave options, Employer paid Life Insurance, STD, LTD, Charitable contribution matching program, New client commission opportunities and referral bonus program, Bike share discount program. Also includes salary range. So we can have Benefits section with those items as list.
- Pay: The salary range: "The estimated base salary range for this position is $235,000-$280,000. In addition to this base salary, individuals may be eligible for an annual discretionary bonus." That's pay info. So we need a Pay section.
- Schedule: Not mentioned explicitly. There's "Own Your Day flexible work policy" but that's more about flexibility, not schedule. No explicit schedule. So we omit Schedule.
We also need to include maybe a short
for metadata like location? The posting mentions "Based in Chicago, IL, and flexible to work from our Chicago office as needed". That's location info. Could be placed in a short
under About the role or separate? The instruction: do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it. So we can include a
for location maybe after About the role. We must remove boilerplate: EEO, equal-opportunity, scam-warning, navigation, cookie, legal, duplicated lines, application instructions. Also remove the final paragraphs about "We put humans at the center of our work..." etc. That's boilerplate about company culture, but maybe it's substantive? It's more about the firm; could be considered "About the company". Not requested as a section. We could drop it as it's not required sections. The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. However we can drop boilerplate that is not substantive to the job? The "We put humans at the center..." is generic marketing. Might be considered boilerplate. The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. It doesn't explicitly say to remove generic marketing about company. But we should preserve substantive information about the role. The later paragraphs about the firm's guiding principles, awards, etc. are not directly about the role; they could be considered boilerplate. Safer to omit them as they are not required sections and could be considered filler. However the instruction says "Preserve ALL substantive information". Are those substantive? They describe the firm's culture, which could be relevant to candidate. But the sections we are to output are limited to the headings list. If we omit them, we might be losing substantive info. However we could incorporate them into About the role or a separate section like "About AArete". But not in the allowed headings list. The allowed headings are only those specific ones. So we should not create other headings. We could fold minor metadata into a short
. The culture description could be considered minor metadata? It's not minor; it's a paragraph. But we could include it as a
under About the role? The About the role section currently has the role description. We could append the culture description as additional
after that. That would preserve it without extra heading. Similarly the final EEO paragraph should be removed as it's EEO boilerplate. Thus final HTML:
About the role
We are seeking a VP of AI Solutions to lead the design, development, and implementation of enterprise AI solutions that solve complex business and operational challenges for AArete and our clients. This individual will combine deep technical expertise with a consulting mindset, partnering with clients and internal leaders to define business problems, identify practical AI opportunities, and take solutions from concept through production deployment. This is a hands-on leadership role. The ideal candidate has personally designed, built, and deployed AI solutions in production environments and remains comfortable working directly with code, architecture, data, APIs, and engineering teams. This individual will also help shape AArete's AI capabilities, develop reusable solutions and accelerators, and identify opportunities to deliver measurable value through AI. The role requires someone who can operate effectively in a dynamic consulting environment, balance multiple priorities and engagements, and communicate effectively with both executive stakeholders and technical teams.
Based in Chicago, IL, and flexible to work from our Chicago office as needed.
Responsibilities
- Partner with clients and AArete leaders to understand complex business and operational challenges and translate them into practical AI use cases and implementation strategies
- Lead AI engagements from discovery and business-case development through solution architecture, implementation, testing, deployment, and production support
- Design, prototype, code, test, troubleshoot, and deploy AI solutions while providing technical leadership to engineering and data teams
- Build and implement generative AI applications, agentic AI workflows, retrieval-augmented generation (RAG) solutions, conversational AI, predictive models, and intelligent automation solutions
- Design enterprise AI architectures that integrate with existing data platforms, applications, APIs, workflows, security controls, and operating models
- Develop implementation plans, technical requirements, resource estimates, delivery timelines, and solution architectures for AI initiatives
- Lead model selection, prompt engineering, RAG design, model evaluation, performance optimization, guardrails, monitoring, and other activities required to deliver reliable AI solutions
- Move AI initiatives beyond demonstrations and proofs of concept into secure, scalable, production-ready solutions
- Diagnose and resolve technical challenges related to data quality, integration, performance, hallucinations, security, scalability, and adoption
- Design solutions across modern cloud, data, and enterprise platforms such as Azure, AWS, Databricks, Snowflake, and Salesforce
- Establish standards and best practices for responsible AI, privacy, security, testing, monitoring, governance, and human oversight
- Develop reusable AI accelerators, reference architectures, demonstrations, frameworks, and delivery playbooks that can be leveraged across clients and engagements
- Work directly with client executives, business leaders, architects, engineers, data scientists, and other stakeholders to communicate AI opportunities, limitations, risks, costs, and tradeoffs
- Recruit, mentor, and provide technical leadership to AI engineers, data scientists, architects, and consultants
- Partner across AArete to identify opportunities to embed AI into client solutions, internal capabilities, and broader transformation initiatives
- Evaluate emerging AI technologies, platforms, and partnerships based on their enterprise applicability and commercial potential
- Other duties as assigned
Requirements
- 10+ years of relevant experience in technology, software engineering, data, advanced analytics, AI/ML, consulting, or related disciplines with a Bachelor’s Degree, or 14+ years of equivalent experience
- 4+ years of hands-on experience with AI, machine learning, advanced analytics, or intelligent automation
- Demonstrated recent experience personally designing, building, and deploying AI solutions into production environments
- Experience implementing multiple AI solutions in production, with the ability to clearly articulate individual technical contributions, architecture decisions, challenges, and outcomes
- Strong hands-on development capabilities using Python, SQL, APIs, and modern software-development practices
- Experience building generative AI applications, AI agents, retrieval-augmented generation solutions, conversational AI, predictive models, or intelligent automation solutions
- Hands-on experience with model selection, prompt engineering, embeddings, vector databases, evaluation frameworks, guardrails, monitoring, and performance optimization
- Experience integrating AI solutions into complex enterprise environments, applications, workflows, and data platforms
- Familiarity with enterprise AI and data platforms such as Azure OpenAI, AWS Bedrock, Databricks, Snowflake, Salesforce, Microsoft Power Platform, or similar technologies
- Understanding of cloud architecture, data engineering, DevOps, MLOps, LLMOps, testing, observability, and production-support requirements
- Proven ability to move AI solutions from prototype or proof of concept into secure, scalable production environments
- Experience working directly with business and technical stakeholders to define problems, evaluate AI use cases, develop technical approaches, and lead implementation
- Ability to estimate implementation effort, define resource requirements, manage delivery risks, and develop practical implementation plans
- Strong executive communication skills with the ability to translate complex technical concepts into clear business recommendations
- Ability to operate effectively across multiple concurrent initiatives and adapt quickly to changing priorities in a dynamic environment
- Demonstrated experience leading, mentoring, or providing technical direction to engineers, data scientists, architects, or other technical professionals
- Willingness to engage in direct client interaction, including travel to client locations
- Must be legally authorized to work in the United States without the need for employer sponsorship
Qualifications
- Experience working in consulting, professional services, systems integration, or another client-facing technology environment
- Experience delivering enterprise AI solutions within healthcare, health plans, or another highly regulated industry
- Working knowledge of healthcare payer functions such as claims, enrollment, member and provider services, care management, utilization management, payment integrity, risk adjustment, quality, or finance
- Familiarity with healthcare data, privacy, security, compliance, and responsible-use requirements
- Experience working with distributed or global engineering and delivery teams
Benefits
- Flexible PTO
- Monthly half-day refuels
- Volunteer time off
- 10 paid holidays
- Own Your Day flexible work policy
- Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match
- Generous paid parental leave options
- Employ