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Agentic Ai Jobs in Arizona (NOW HIRING)

Section 1: Position Summary The Senior Manager, Agentic AI Delivery will be a critical leader within Ascensus' Transformation team, accountable for end-to-end delivery of an enterprise portfolio of ...

AI Engineer III - Agentic AI

Phoenix, AZ · On-site

$103K - $174K/yr

Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power ...

Sr AI Engineer I - Agentic AI

Phoenix, AZ · On-site

$103K - $142K/yr

Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power ...

Sr AI Engineer II - Agentic AI

Phoenix, AZ · On-site

$103K - $142K/yr

Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power ...

Own the end-to-end development of the enterprise's Agentic AI platform. Design, develop, test, and deploy high-performance generative AI capabilities that allow AI agents to autonomously understand ...

AI Engineer - Agentic AI, Node Js Typescript and Python, Gen AI, Agentic AI . Client is not considering candidates who do not have experience on this. Technical Skills: 6+ years of experience ...

New

Lead AI Engineer

Phoenix, AZ · On-site

$99K - $131K/yr

Lead AI Engineer Location: Phoenix AZ/Sunrise FL its day 1 onsite Duration: Long term Skill Set: AI ... You will work at the intersection of agentic system architecture and hands-on execution: designing ...

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Agentic Ai information

See Arizona salary details

$33

$61

$108

How much do agentic ai jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for agentic ai in Arizona is $61.29, according to ZipRecruiter salary data. Most workers in this role earn between $42.36 and $93.17 per hour, depending on experience, location, and employer.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

What are the most commonly searched types of Agentic Ai jobs in Arizona?

The most popular types of Agentic Ai jobs in Arizona are:

What cities in Arizona are hiring for Agentic Ai jobs?

Cities in Arizona with the most Agentic Ai job openings:

Infographic showing various Agentic Ai job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution, with an average salary of $127,491 per year, or $61.3 per hour.

Agentic AI Delivery Leader

ASCENSUS

Phoenix, AZ • Hybrid

Full-time

Re-posted 24 days ago


Ascensus rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.

Section 1: Position Summary

The Senior Manager, Agentic AI Delivery will be a critical leader within Ascensus' Transformation team, accountable for end-to-end delivery of an enterprise portfolio of agentic AI initiatives from opportunity discovery and value case through design, build, launch, adoption, and measured outcomes. This role partners with executive business leaders, product and engineering teams, data/AI practitioners, and risk/compliance to design and deliver reliable, secure, and scalable AI agent solutions that materially improve customer experience, associate productivity, and operational performance. The Senior Manager establishes the delivery strategy, operating model (governance, ways of working, metrics), and ensures that AI agent deployments meet quality, accuracy, and timeliness to value while achieving committed business outcomes.

Section 2: Job Functions, Essential Duties and Responsibilities

Agentic AI Program Management and Delivery

  • Portfolio ownership and roadmap: Own an enterprise portfolio of agentic AI use cases; shape multi-quarter roadmaps tied to business strategy, scalability and measurable outcomes; define success metrics (value, quality, portability) and manage trade-offs across initiatives.
  • Opportunity discovery and solution framing: Define agentic framework to conduct end-to-end discovery (diagnostics, data/system constraints, user journeys) to identify high-value agentic opportunities; translate pain points into agentic AI solutions (tools/actions, guardrails, autonomous or human-in-the-loop) and delivery plans.
  • Value case, funding, and benefits realization: Build and defend business cases (cost, revenue, CX improvement); secure executive alignment; establish benefits measurement (baseline, attribution, measurement) and manage realization through adoption and continuous improvement.
  • Delivery leadership (Agile / hybrid): Coordinate with cross-functional squads (product, AI engineering, data science, architecture, operations) and external partners to deliver pilots and scaled deployments; manage scope, dependencies, risks, and delivery quality; run executive steering and agentic AI program governance.
  • Risk, compliance, and responsible AI: Partner with Responsible AI leader to implement controls for data handling, model/vendor risk, explainability, and operational resilience; ensure appropriate guardrails (policy, content filtering, escalation paths) for production agent use.
  • Go-live, adoption, and change leadership: Lead launch planning, training, communications, and hypercare; drive stakeholder readiness and measurable adoption; establish feedback loops and a backlog for post-launch enhancements across business units.

Executive stakeholder management and cross-functional leadership

  • Serve as a trusted advisor to executives and senior leaders, translating agentic AI capabilities into practical operating model changes, investment decisions, and delivery commitments.
  • Lead executive steering committees and governance forums; produce concise materials for C-suite audiences.
  • Proactively manage interlocks across IT, Operations, Service, Sales, and Produc
  • Drive vendor and platform decisions (build/buy/partner), contract scope, and performance management to ensure delivery outcomes.

Essential Duties and Responsibilities

  • Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients.
  • At Ascensus we are guided by our Core Values of People Matter, Quality First and Integrity Always. They inspire us every day to prioritize an environment of respect for those we serve and one another and should be visible in your actions on a day-to-day.

Supervision

  • Agentic AI Delivery Principal

Section 3: Experience, Skills, Knowledge Requirements

  • Bachelor's Degree required; MBA or equivalent advanced degree preferred.
  • 8+ years in digital transformation, product/program management, or consulting; 4+ years delivering AI/ML and generative AI solutions in production; 1+ year delivery agentic AI solutions in production
  • Experience leading multiple concurrent workstreams and managing complex stakeholder environments.
  • Demonstrated experience delivering agentic AI solutions (LLM-powered copilots/agents) including use-case discovery, evaluation, deployment, and post-launch iteration; strong understanding of RAG, tool/function calling (MCP/API), autonomous AI, human-in-the-loop, and prompt/config management.
  • Program leadership: proven ability to establish governance, operating cadence, executive communications, and delivery metrics; track value realization and drive decisions across risk, scope, timeline, and investment.
  • Excellent verbal and written communication skills; ability to synthesize complex topics into clear executive-ready materials.
  • Strong leadership presence with the ability to influence without authority, lead senior stakeholder forums, and mentor/coach cross-functional team members.
  • Hands-on orientation: comfort working directly with product/engineering and data teams on backlog shaping, acceptance criteria, testing, and release readiness.
  • Metrics-driven mindset with strong analytical skills, including benefits tracking, experimentation, and continuous improvement.
  • Ability to operate in a fast-paced environment while managing multiple large-scale initiatives and senior stakeholders.

For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual workspace and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 Mbps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required.If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying.

Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.


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