Lead Artificial Intelligence Solutions Consultant

Synechron • Phoenix, AZ

2d

About The Position

Synechron is seeking an Enterprise AI Platform - Agentic AI Safety & Security Lead Artificial Intelligence Solutions Consultant for its Digital Capabilities team under Digital Technology & Innovation. The role defines and delivers the governance, control, and enablement layer that allows enterprise teams to design, deploy, and operate AI agents safely and at scale in regulated environments. The consultant will lead the Agentic AI Safety and Security strategy within the Enterprise AI Platform and partner with platform engineering, cybersecurity, risk and compliance, and application teams to develop capabilities such as agent identity and registry, observability and evaluation, responsible AI and data guardrails, and agent behavior controls. This high-impact role spans AI innovation, platform product management, and enterprise transformation, establishing a trusted agentic foundation that supports faster time to value while maintaining governance, security, and operational excellence.

The position leads complex AI initiatives across a line of business, recommends business strategies and AI-enabled solutions, prioritizes use cases and resources, evaluates technical readiness, and drives implementation while coordinating with stakeholders and resolving issues. The listed base salary for positions in Phoenix, Arizona; Charlotte, North Carolina; or Irving, Texas is $120,000–$125,000 per year, plus benefits. Salary varies by geography and other factors.

Requirements

• At least 5 years of Artificial Intelligence Solutions experience, or equivalent demonstrated through work experience, training, military experience, or education.
• At least 2 years of experience delivering platform capabilities end to end, from discovery and roadmap definition through delivery and adoption, with clear success metrics and strong stakeholder alignment.
• At least 2 years of hands-on experience with cloud platforms such as GCP or Azure and container orchestration technologies including Docker and Kubernetes or OpenShift.
• Experience with agentic AI systems, including planning and routing, tool execution, and multi-step workflows.
• Familiarity with architectural patterns such as retrieval-augmented generation (RAG) and orchestrated agent workflows.
• Familiarity with emerging standards and interoperability patterns for agent-to-tool and agent-to-agent connectivity, including concepts similar to MCP-style tool integration and A2A communication models.
• Experience integrating enterprise platforms through APIs and connectors, including designing and operating permission models, identity integration, and secure data-access patterns.
• Experience building developer-centric products and platforms, such as registries or marketplaces, SDKs and templates, documentation, onboarding flows, and scalable self-service experiences.
• Understanding of AI governance and risk controls in enterprise environments, including operational guardrails, auditability, compliance considerations, and safe deployment practices.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly and influence technical practitioners and business stakeholders.

Responsibilities

• Lead a team in identifying, strategizing, and executing complex Artificial Intelligence initiatives that span a line of business.
• Recommend business strategy and deliver AI-enabling solutions to address business challenges.
• Define and prioritize use cases, obtain required resources, and ensure solutions deliver intended benefits.
• Evaluate technological readiness and resources needed to execute proposed AI solutions.
• Make decisions that drive the implementation of AI initiatives and programs while serving multiple stakeholders.
• Resolve issues that arise during solution development or implementation.
• Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals.
• Lead the Agentic AI Safety and Security strategy within the Enterprise AI Platform.
• Define and deliver governance, control, and enablement capabilities for safe, scalable AI agent design, deployment, and operation in regulated environments.
• Partner with platform engineering, cybersecurity, risk and compliance, and application teams to build agent identity and registry, observability and evaluation, responsible AI and data guardrails, and agent behavior controls.
• Deliver platform capabilities from discovery and roadmap definition through delivery and adoption, with success metrics and stakeholder alignment.

Benefits

• 10 days of paid annual leave, plus sick leave and national holidays.
• Maternity and paternity leave plans.
• Medical, dental, vision, life, and long- and short-term disability insurance; plans vary by region.
• Retirement savings plans.
• Higher education certification policy.
• Commuter benefits; availability varies by region.
• Extensive training opportunities focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business access to more than 5,000 curated courses for Synechron employees.
• Coaching opportunities with experienced colleagues from Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Flexible workplace arrangements.
• Mentoring, internal mobility, and learning and development programs.
• Possibility to work abroad.
• Competitive compensation and benefits package.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed