What are the responsibilities and job description for the Senior AI Architect, Indianapolis, IN position at Agility 360?
Senior AI Architect, Indianapolis, IN
Agility 360 seeking a Senior AI Architect for a client in Indianapolis, IN. This person will be responsible for shaping enterprise-wide AI architecture and driving scalable, ethical, and high-impact AI solutions. This role requires strong systems thinking, hands-on experience with AI/ML and GenAI technologies, and the ability to translate business needs into practical, production-ready solutions.
ESSENTIAL JOB FUNCTIONS
- Partner with business leaders, product managers, and stakeholders to understand workflows, constraints, and AI opportunities
- Assess AI use cases for feasibility, data readiness, architecture impact, and delivery risk
- Translate business requirements into scalable AI solution architectures and technical designs
- Design enterprise-grade AI solutions including data flows, integrations, security, and monitoring
- Develop architecture artifacts such as workflows, diagrams, and decision records
- Recommend AI approaches (ML, GenAI, RAG, agentic workflows, automation, hybrid models)
- Ensure solutions meet standards for scalability, reliability, compliance, and responsible AI
- Collaborate with architecture, security, data, and governance teams to align with enterprise standards
- Build prototypes, PoCs, and reference implementations to validate solutions and reduce risk
- Provide hands-on technical guidance, design reviews, and troubleshooting support
- Mentor engineers and cross-functional teams through coaching and knowledge sharing
- Establish reusable AI architecture standards, patterns, and best practices
- Define and promote responsible AI principles including transparency, privacy, and oversight
- Continuously evaluate emerging AI technologies and incorporate practical innovations
- Capture lessons learned and develop reusable playbooks and architecture guidance
EDUCATION / EXPERIENCE REQUIREMENTS
- Bachelor’s degree in Computer Science, Data Engineering, or related field required; Master’s preferred
- 10 years of software engineering or architecture experience with 5 years in AI/ML solutions
- Strong expertise in AI/ML system design, MLOps, and cloud-native architectures
- Experience with LLMs, RAG architectures, vector databases, and modern AI frameworks
- Hands-on experience with platforms such as AWS SageMaker, Azure ML, Vertex AI, Databricks, or OpenAI APIs
- Proven ability to lead architecture decisions and collaborate across enterprise teams
- Knowledge of AI governance, responsible AI practices, and data privacy/security standards
- Strong communication, organizational, and problem-solving skills
- Experience with enterprise architecture frameworks (Zachman/TOGAF) preferred
- Cloud or architecture certifications (AWS, Azure) preferred
ADDITIONAL DETAILS
- Location: on-site in Indianapolis, IN
- Contract to hire
- Salary: Commensurate with experience.