The Senior Artificial Intelligence (AI) Architect provides enterprise level architecture leadership for the agency’s adoption of AI. The role shapes AI architecture strategy and delivers secure, scalable and responsible architecture solutions aligned with business priorities and enterprise architecture.
Compensation
Rates: $140 - $160 per hour (inc. super)
Responsibilities
Develop and maintain the agency’s AI architecture strategy, target architecture, principles, standards, reference architectures, reusable patterns and roadmaps.
Translate business, policy, service delivery and ICT requirements into secure, scalable, resilient and supportable end-to-end AI architectures, supported by clear options, decision records and implementation guidance.
Assess AI opportunities, platforms, models and tools against strategic alignment, business and public value, feasibility, data readiness, interoperability, cost, risk, performance, supportability and vendor dependency.
Define and assure architecture patterns, guardrails and controls across the AI lifecycle for generative AI, large language models, retrieval-augmented generation, machine learning, intelligent automation and emerging AI technologies.
Provide architecture assurance and clear advice on options, trade-offs and risks to senior stakeholders and governance forums, collaborating across business, architecture, data, cyber security, privacy, legal, procurement, delivery and operations.
Requirements
Relevant tertiary qualifications or recognised certifications in architecture, information technology, artificial intelligence, machine learning, computer science, data science, engineering, cloud or cyber security would be advantageous.
Senior Artificial Intelligence (AI) Architect provides enterprise level architecture leadership for the agency’s adoption of AI, shaping strategy and delivering secure, scalable and responsible solutions aligned with business priorities and enterprise architecture.
Compensation
$140 - $160 per hour (inc. super)
Responsibilities
Develop and maintain the agency’s AI architecture strategy, target architecture, principles, standards, reference architectures, reusable patterns and roadmaps.
Translate business, policy, service delivery and ICT requirements into secure, scalable, resilient and supportable end-to-end AI architectures.
Assess AI opportunities, platforms, models and tools against strategic alignment, business and public value, feasibility, data readiness, interoperability, cost, risk, performance, supportability and vendor dependency.
Define and assure architecture patterns, guardrails and controls across the AI lifecycle for generative AI, large language models, retrieval-augmented generation, machine learning, intelligent automation and emerging AI technologies.
Provide architecture assurance and clear advice on options, trade-offs and risks to senior stakeholders and governance forums.
Requirements
Relevant tertiary qualifications or recognised certifications in architecture, information technology, artificial intelligence, machine learning, computer science, data science, engineering, cloud or cyber security
A 12‑month in‑person development program focused on building and operating AI‑enabled IT and technology services within Optum’s Global Technology Services.
Responsibilities
Build and operate AI agents for IT operations
Develop deterministic and agentic automation, CI/CD pipelines, and infrastructure as code
Operate cloud foundations, compute, storage, and data center operations
Implement observability, reliability, and resiliency patterns for critical systems
Engineer network, identity, and access management solutions with MFA, SSO, and device registration
Lead the ongoing performance, quality, optimization, and evolution of digital and voice bot programs, serving as the primary partner-facing point of contact and leading a cross-functional AI operations team.
Responsibilities
Translate bot performance data into insights and recommendations
Own operating cadence and coordinate enhancement delivery
Manage change backlog and measure impact of improvements
Coordinate user acceptance testing
Establish reporting across bot performance metrics
Lead strategy and operations for AI-powered customer experience across global support, building systems, workflows, and teams to drive performance and AI integration.
Locations (2)
New York, New York, United States
San Francisco, California, United States
Compensation
For candidates located in New York City or San Francisco, the base salary range for this role is $164,000–$215,000. For candidates located in all other locations, the base salary range will be between $147,000-$205,000.
Responsibilities
Set org-wide goals and metrics with Head of CX
Define roles and workflows for specialists and AI agents
Rebuild incentives and performance management
Own global schedules, capacity, and quality for 24/7/365 support
The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $181,800 to $377,400 Bay Area California offices – $189,400 to $393,200 All other offices locations in the US, including Sacramento – $151,500 to $346,000
Responsibilities
Lead large scale engagements and deliver high-quality client services
Manage and lead client engagement teams
Generate new business opportunities
Shape and lead AI-enabled transformation programs
Advise senior client stakeholders on AI operating models and governance
Requirements
Bachelor's degree in Business, Computer Science, Engineering, Information Systems Management, Finance, or a related field
Nice to have: Post-graduate degree in Computer Science, Engineering, Information Systems Management, Finance or a related field
Nice to have: Program and/or Project Management certifications (PgMP, PMP, Agile)
Nice to have: AI, cloud, data, architecture, machine learning or responsible AI certifications
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