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Generative Ai Associate Jobs in Decatur, GA (NOW HIRING)

... associate productivity, and operational performance. The Senior Manager establishes the delivery ... generative AI solutions in production; 1+ year delivery agentic AI solutions in production

Senior Project Manager

Atlanta, GA · On-site

$95K - $125K/yr

Senior Project Manager Starr & Associates (S&A) is seeking an experienced Senior Project Manager ... Experience supporting AI, Machine Learning, Generative AI, or advanced analytics initiatives. Core ...

Senior Project Manager

Atlanta, GA · On-site

$95K - $125K/yr

Senior Project Manager Starr & Associates (S&A) is seeking an experienced Senior Project Manager ... Experience supporting AI, Machine Learning, Generative AI, or advanced analytics initiatives. Core ...

Senior Project Manager

Atlanta, GA · On-site +1

$95K - $125K/yr

Vision insurance Senior Project Manager Starr & Associates (S&A) is seeking an experienced Senior ... Experience supporting AI, Machine Learning, Generative AI, or advanced analytics initiatives. Core ...

AI Solutions Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

... generative artificial intelligence use cases, including secure and high-availability deployment ... AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions ...

AI Solutions Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

... generative artificial intelligence use cases, including secure and high-availability deployment ... AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions ...

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Generative Ai Associate information

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How much do generative ai associate jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for generative ai associate in Decatur, GA is $17.01, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $18.08 per hour, depending on experience, location, and employer.

How does a Generative AI Associate typically collaborate with data scientists and engineers on projects?

As a Generative AI Associate, you will often work closely with data scientists to understand data requirements and model objectives, and with engineers to help deploy and integrate AI solutions into existing systems. Collaboration usually involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical issues together. You may also assist with data preprocessing, building prototypes, and documenting workflows to ensure smooth handoffs between teams. This cross-functional teamwork is essential for delivering robust and scalable generative AI applications.

What are Generative AI Associates?

Generative AI Associates are professionals who support the development, implementation, and management of AI systems that create new content such as text, images, audio, or code. They often work with machine learning models, particularly those based on generative techniques like large language models or diffusion models. Their responsibilities may include data preparation, model training, prompt engineering, and evaluating AI outputs. Generative AI Associates typically collaborate with data scientists, engineers, and product teams to ensure AI solutions meet business and ethical standards.

What are the key skills and qualifications needed to thrive as a Generative AI Associate, and why are they important?

To thrive as a Generative AI Associate, strong foundations in machine learning, data analysis, and programming (often Python) are essential, typically supported by a degree in computer science or a related field. Familiarity with popular AI frameworks such as TensorFlow, PyTorch, and experience using cloud platforms like AWS or Azure are commonly required, along with knowledge of prompt engineering and large language models. Creative problem-solving, effective communication, and a collaborative mindset are standout soft skills in this role. These skills and qualities enable associates to design innovative AI solutions, communicate complex ideas, and work efficiently in fast-evolving, interdisciplinary environments.
What are the most commonly searched types of Generative Ai jobs in Decatur, GA? The most popular types of Generative Ai jobs in Decatur, GA are:
What job categories do people searching Generative Ai Associate jobs in Decatur, GA look for? The top searched job categories for Generative Ai Associate jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Generative Ai Associate jobs? Cities near Decatur, GA with the most Generative Ai Associate job openings:
Agentic AI Delivery Leader

Agentic AI Delivery Leader

ASCENSUS

Atlanta, GA • Hybrid

Full-time

Posted 3 days ago


Ascensus rating

8.4

Company rating: 8.4 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

33rd of 138 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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