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Ai Solutions Manager Jobs in Decatur, GA (NOW HIRING)

ReSource Pro is seeking a Principal AI Solutions Architect, to design, validate, and define AI ... Strong stakeholder management skills with the ability to influence cross-functional teams. * Deep ...

Principal AI Solutions Architect

Atlanta, GA · On-site +1

$120K - $205K/yr

ReSource Pro is seeking a Principal AI Solutions Architect, to design, validate, and define AI ... Strong stakeholder management skills with the ability to influence cross-functional teams. * Deep ...

Experience in B2B SaaS or AI product environments , particularly product management experience. * A ... solutions that make work faster, safer, and more sustainable for millions of people worldwide.

Experience in B2B SaaS or AI product environments , particularly product management experience. * A ... solutions that make work faster, safer, and more sustainable for millions of people worldwide.

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Ai Solutions Manager information

See Decatur, GA salary details

$48.3K

$91.9K

$147.4K

How much do ai solutions manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for ai solutions manager in Decatur, GA is $91,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,800.00 and $112,300.00 per year, depending on experience, location, and employer.

What is an AI Solutions Manager?

AI Solutions Managers are professionals responsible for overseeing the development, implementation, and management of artificial intelligence solutions within an organization. They work closely with technical teams, stakeholders, and clients to identify business needs and translate them into AI-driven strategies and products. Their duties often include project management, resource allocation, ensuring successful delivery of AI projects, and staying up-to-date with the latest AI technologies and trends. By bridging the gap between business objectives and technical execution, they help organizations leverage AI to achieve better outcomes.

How does an AI Solutions Manager typically collaborate with cross-functional teams during a project?

AI Solutions Managers play a pivotal role in bridging the gap between technical teams and business stakeholders. They regularly coordinate with data scientists, engineers, product managers, and clients to ensure AI solutions align with organizational goals and customer needs. This involves translating business requirements into technical specifications, facilitating project timelines, and addressing challenges that may arise during development and deployment. Effective communication and the ability to manage diverse viewpoints are essential for success in this collaborative environment.

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

To thrive as an AI Solutions Manager, you need a strong background in computer science, data analytics, and project management, often supported by a relevant degree and experience in AI technologies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and certifications like PMP or AWS Certified Machine Learning are highly valuable. Exceptional communication, leadership, and problem-solving skills are crucial for coordinating teams and translating business needs into technical solutions. These skills ensure the successful delivery of AI-driven projects that meet organizational objectives and drive innovation.

What is the difference between Ai Solutions Manager vs Data Scientist?

AspectAi Solutions ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI project managementDegree in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentLeads AI projects, collaborates with cross-functional teams, manages AI solution deploymentAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI-focused firms, consultingResearch institutions, tech companies, finance, healthcare

The Ai Solutions Manager focuses on leading AI project implementation and managing teams, while Data Scientists primarily analyze data and develop AI models. Both roles require technical skills, but the manager role emphasizes project oversight and strategic deployment.

How do you become an AI solutions manager?

To become an AI solutions manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in AI, machine learning, and project management. Earning relevant certifications or advanced degrees can enhance prospects, and developing skills in programming languages like Python and familiarity with AI tools are also beneficial. Prior experience leading technical teams or managing AI projects is often required for this role.

What are popular job titles related to Ai Solutions Manager jobs in Decatur, GA?

For Ai Solutions Manager jobs in Decatur, GA, the most frequently searched job titles are:

What job categories do people searching Ai Solutions Manager jobs in Decatur, GA look for?

The top searched job categories for Ai Solutions Manager jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Ai Solutions Manager jobs?

Cities near Decatur, GA with the most Ai Solutions Manager job openings:

Infographic showing various Ai Solutions Manager job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $91,944 per year, or $44.2 per hour.

Enterprise AI Solutions Architect

Alvarez and Marsal

Atlanta, GA

Full-time

Medical, Life, Retirement, PTO

Posted 3 days ago

New


Alvarez & Marsal rating

7.2

Company rating: 7.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

53rd of 72 rated business consultants


Job description

Description

About Alvarez & Marsal 

Alvarez & Marsal (A&M) is a global consulting firm with entrepreneurial, action- and results-oriented professionals. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact on our clients and shape our industry.

The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.

The Team

A&M is seeking an Enterprise AI Solutions Architect to sit at the intersection of enterprise architecture, AI engineering, product, and practical technology delivery. This role will be responsible for designing and delivering scalable, secure, AI-enabled solutions that help the organization move faster, eliminate manual work, and drive measurable business outcomes.

This is a senior technical architecture role that is approximately 50% hands-on. The successful candidate will not only define solution architecture and technical direction but will also actively participate in building, prototyping, coding, integrating, and troubleshooting solutions.

The Enterprise AI Solutions Architect will work closely with product managers, business stakeholders, internal development teams, and external development partners to translate business requirements into scalable technical architectures and production-ready solutions.

The role will provide technical leadership to internal and offshore development teams while remaining directly involved in development and implementation. Strong architecture expertise, hands-on engineering capabilities, organizational skills, and the ability to communicate effectively with both technical and non-technical stakeholders are essential.

How You Will Contribute

Solution Architecture & Technical Strategy

Own the end-to-end architecture of enterprise AI and technology solutions across frontend applications, backend services, APIs, data platforms, AI services, integrations, and Azure cloud infrastructure.

Translate business and product requirements into scalable, secure, maintainable solution architectures and define the technical roadmap required to move solutions from concept through production.

Develop architecture diagrams, solution designs, integration patterns, data flows, technical specifications, and implementation approaches that provide clear direction to development teams.

Hands-On Architecture & Development – Approximately 50%

  • Maintain significant hands-on involvement throughout the development lifecycle, spending approximately 50% of the role actively hands on - designing, building, prototyping, coding, integrating, leading developers and troubleshooting solutions.
  • Develop proofs of concept and production components, particularly for complex AI, integration, API, and cloud architecture challenges.
  • Work directly with developers on- and off-shore to solve difficult technical problems, review and improve code, validate architectural approaches, and ensure that architecture decisions translate effectively into working software.

AI Solution Architecture

  • Architect and develop enterprise AI solutions using Azure, Generative AI, Agentic AI, LLMs, Retrieval-Augmented Generation (RAG), vector databases, embeddings, orchestration frameworks, APIs, and related technologies.
  • Evaluate AI technologies, frameworks, platforms, and architectural approaches and determine the appropriate solution based on business requirements, scalability, security, performance, maintainability, and cost.
  • Design AI solutions that can move successfully from proof of concept into secure, reliable, enterprise-scale production environments.

Key Functions: 

  • Product & Business Partnership
  • Technical Leadership & Delivery
  • Engineering Standards & Governance
  • Stakeholder Communication
  • Problem Discovery & Innovation
  • Team Leadership

Qualifications

  • 10+ years of software engineering, solution architecture, or full-stack development experience, including at least 6 years as a Solution Architect, Enterprise Architect, Technical Architect, or comparable senior technical role.
  • Demonstrated ability to operate as a hands-on architect, with current technical skills and the ability to spend approximately 50% of the role designing, coding, prototyping, integrating, and troubleshooting solutions.
  • Deep experience designing and deploying enterprise solutions within Microsoft Azure.
  • Generative AI and/or Agentic AI technologies and architectures.
  • Hands-on experience building AI-powered applications using technologies such as LLMs, RAG architectures, vector databases, embeddings, AI agents, orchestration frameworks, and modern AI SDKs.
  • Demonstrated experience designing distributed systems, scalable integrations, APIs, event-driven architectures, and multi-team delivery models.
  • Strong understanding of enterprise architecture principles including scalability, security, reliability, resiliency, observability, maintainability, and performance.
  • Experience taking AI solutions from proof of concept through enterprise production deployment.
  • Proven experience providing technical leadership to internal, offshore, and/or external development teams.
  • Strong understanding of software engineering practices including source control, code review, automated testing, CI/CD, DevOps, monitoring, and production support.
  • Demonstrated ability to work directly with product managers and business stakeholders from discovery and requirements gathering through architecture, implementation, and production delivery.
  • Exceptional communication and interpersonal skills, with the ability to communicate complex architecture and technology concepts clearly to technical teams, business leaders, and executives.
  • Demonstrated ability to operate effectively in ambiguous environments and establish structure and technical direction where requirements are not fully defined.
  • Knowledge of enterprise identity and security standards including SSO, SAML, OAuth/OIDC, role-based access controls, audit logging, data protection, and compliance controls.
  • Experience managing or providing technical direction to offshore development teams is strongly preferred.

Your journey at A&M 

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.  

We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.  

Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings’ fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M’s benefits programs. 

The salary range is $195,000- $230,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance.  Please ask your recruiter for details. 


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