
AVP, AI Enterprise Architecture (Onsite)
TM Floyd · Columbia, SC · Onsite
All reasons
In its favour
- Still listed on the employer's own board
We're looking for an AVP, AI Enterprise Architecture for an onsite role in Chattanooga, TN, Atlanta, GA, Portland, ME, or Columbia, SC.
Skills & Qualifications
- 15 years of experience in enterprise architecture with significant experience designing and implementing enterprise AI/ML platforms and solutions
- Deep knowledge of AI/ML frameworks, cloud AI services (e.g., AWS), and modern data technologies
- Experience with foundation models, prompt engineering, RAG architectures, and agentic AI patterns
- Strong understanding of AI risks, governance frameworks, and regulatory considerations
- Familiarity with Agile/Lean delivery and modern engineering practices (e.g., CI/CD, MLOps)
- Demonstrable experience of delivering complex software systems as an engineer and architect
- Proven ability to communicate complex technical concepts to both technical and business audiences
- Strategic thinker with strong problem-solving and analytical skills
- Collaborative and influential leader across complex organizations
- Curious and forward-looking on emerging technologies
- Outcome-driven with focus on measurable business impact
Key Responsibilities
- Define and evolve the enterprise AI architecture strategy and standards
- Be the enterprise architecture representative in AI governance committees and directly contribute to governance frameworks and enterprise standards
- Ensure enterprise AI capabilities are aligned to business outcomes and enterprise priorities
- Design scalable, modular, and secure agentic AI solutions
- Establish reference architectures, reusable patterns, and enterprise platforms to industrialize AI capabilities at scale (primarily cloud-based / hyperscaler capabilities)
- Align AI architecture with enterprise capabilities and technology roadmaps
- Evaluate emerging technologies and guide tool/platform selection to ensure cost-effective, future-ready solutions
- Continuously maintain and update the enterprise AI platform roadmaps as the technology and industry capabilities evolve
- Ensure consistent adoption of architecture standards across delivery teams
- Lead architecture governance, compliance, and quality (design-time and runtime performance)
- Influence senior leaders and drive alignment across stakeholders
- Partner with business, product, and technology leaders to translate strategy into execution
- Guide and mentor architects and technical leaders while being a champion of disciplined architecture practices across the organization
- Drive continuous improvement through learnings from implementation and solution delivery
- Define business outcomes, use cases, and success metrics; support AI business cases
- Partner with the enterprise data team to ensure availability, governance, and compliance of data required for AI solutions
- Lead evaluation and selection of foundation models (LLMs, etc.) based on business fit and cost
- Oversee model training, validation, and risk assessment (e.g., bias, hallucination)
- Define deployment approaches and support enterprise adoption and change management
- Establish monitoring frameworks for performance, drift, and continuous improvement
- Ensure alignment with responsible AI principles (fairness, transparency, accountability) and regulatory requirements
- Partner with risk, legal, and compliance teams to mitigate AI-specific risks (e.g., bias, model drift, data leakage)
- Establish clear roles, responsibilities, and oversight mechanisms for AI solutions
Education/Certifications
- Bachelor's degree required; advanced degree preferred
Ideal Candidate
The ideal candidate is a seasoned enterprise architect with 15 years of experience, specializing in AI/ML platforms and solutions. They possess deep knowledge of AI/ML frameworks, cloud services, and modern data technologies. They are strategic thinkers with strong problem-solving skills, capable of leading and influencing across complex organizations. They demonstrate a strong understanding of AI risks and governance, and are committed to aligning AI capabilities with business outcomes.
TM Floyd & Company is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.
We offer a generous array of benefits, depending on the length of assignment. We also offer a referral bonus of up to $1,000. Ask us for more details!
TM Floyd & Company participates in E-VERIFY
AAP, EEO
Skills
- Azure AI Services
- AWS
- Prompt Engineering
- Retrieval-Augmented Generation
- MLOps
- LLM
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