Lead Artificial Intelligence Solutions Consultant

About Us

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.

Our Challenge

We are seeking an Enterprise AI Platform - Agentic AI Safety & Security (Lead Artificial Intelligence Solutions Consultant), as part of the Digital Capabilities team under Digital Technology & Innovation. In this role, candidate will define and deliver the governance, control, and enablement layer that allows teams across the enterprise to design, deploy, and operate AI agents safely and at scale in regulated environments. candidate will lead the Agentic AI Safety and Security strategy within our Enterprise AI Platform, and candidate will partner closely with platform engineering, cybersecurity, risk/compliance, and application teams to build industry leading capabilities such as agent identity and registry, observability and evaluation, responsible AI and data guardrails, and agent behavior controls. This is a high impact role at the intersection of AI innovation, platform product management, and enterprise transformation establishing the trusted agentic foundation that accelerates time to value while ensuring governance, security, and operational excellence.

Additional Information

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Phoenix, AZ / Charlotte, NC / Irving, TX is $120k - $125k/year & benefits (see below).

The Role

• Lead a team to identify, strategize, and execute highly complex Artificial Intelligence initiatives that span a line of business.
• Recommend business strategy and deliver Artificial Intelligence enabling solutions to solve business challenges.
• Define and prioritize cases, obtain the required resources and ensure the solutions deliver the intended benefits.
• Leverage Artificial Intelligence expertise to evaluate technological readiness and resources required to execute the proposed solutions.
• Make decisions to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders.
• Resolve issues which may arise during development or implementation.
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals.

Requirements

• 5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• 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.
• 2+ years of hands‑on experience with cloud platforms such as GCP or Azure, and container orchestration technologies including Docker and Kubernetes/OpenShift.
• Experience with agentic AI systems, including planning and routing, tool execution, and multi step workflows, as well as familiarity with common 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 via 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 clearly explain complex technical concepts