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Associate Ai Engineer Jobs in Arizona (NOW HIRING)

... 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 ...

AI Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

... Engineering, AI/ML, or equivalent experience. * Relevant certifications such as: * AWS Solutions Architect - Professional * AWS Machine Learning Specialty * Terraform Associate * Experience in ...

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine ... AI preferred). * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate ...

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Associate Ai Engineer information

See Arizona salary details

$38.7K

$77K

$123K

How much do associate ai engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for associate ai engineer in Arizona is $77,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $88,500.00 per year, depending on experience, location, and employer.

What does an Associate AI Engineer do?

An Associate AI Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers to build machine learning algorithms, preprocess data, and test AI solutions. Their responsibilities often include writing code, evaluating model performance, and collaborating with data scientists and software developers. This entry-level role provides hands-on experience in AI technologies and helps build a foundation for more advanced engineering positions.

What are the key skills and qualifications needed to thrive as an Associate AI Engineer?

To thrive as an Associate AI Engineer, you need a solid understanding of programming (especially Python), mathematics (linear algebra, probability, statistics), and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms such as AWS or Google Cloud are typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help distinguish top performers in this role. These skills and qualities are essential for successfully developing, implementing, and maintaining AI solutions in a collaborative and rapidly evolving environment.

How much does an associate AI engineer make?

An associate AI engineer typically earns between $70,000 and $100,000 annually, depending on experience, location, and the industry. Entry-level positions may start lower, while those with specialized skills in machine learning, programming, and data analysis can earn higher salaries.

What is the difference between Associate Ai Engineer vs Data Scientist?

AspectAssociate Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, startups, R&D teams; focus on AI model developmentResearch labs, tech firms, finance; focus on data analysis and modeling
Employer & Industry UsageAI-focused roles in tech, healthcare, financeData analysis across industries like marketing, finance, healthcare

Associate Ai Engineers typically focus on developing and implementing AI models, often working closely with data and algorithms. Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require programming skills and a background in data or AI, Associate Ai Engineers are more involved in the technical development of AI systems, whereas Data Scientists focus on data analysis and interpretation.

What are some common challenges an Associate AI Engineer may face when working on real-world machine learning projects?

As an Associate AI Engineer, you may encounter challenges such as handling imperfect or limited datasets, balancing model performance with computational constraints, and integrating AI solutions into existing products. Collaboration with data scientists, software engineers, and product managers is crucial to refine objectives and ensure technical feasibility. Additionally, keeping up with evolving AI frameworks and best practices can be demanding, but it provides valuable learning opportunities and skill growth.

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

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

What cities in Arizona are hiring for Associate Ai Engineer jobs?

Cities in Arizona with the most Associate Ai Engineer job openings:

Infographic showing various Associate Ai Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $77,008 per year, or $37 per hour.

Agentic AI Delivery Leader

ASCENSUS

Phoenix, AZ • Hybrid

Full-time

Re-posted 10 days ago


Ascensus rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

44th of 150 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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