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

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-driven solutions that transform client operations. This highly autonomous role operates at the ...

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How much do ai solutions architect jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for ai solutions architect in Decatur, GA is $68.51, according to ZipRecruiter salary data. Most workers in this role earn between $59.13 and $77.93 per hour, depending on experience, location, and employer.

What is an AI Solutions Architect?

AI Solutions Architects are professionals who design, develop, and implement artificial intelligence solutions to solve business problems. They work closely with stakeholders to understand requirements, select appropriate AI technologies, and ensure that systems are scalable, secure, and aligned with organizational goals. Their responsibilities often include overseeing the integration of AI models into existing infrastructures, collaborating with data scientists and engineers, and guiding the end-to-end lifecycle of AI projects. They also stay updated on the latest AI advancements to recommend innovative solutions. Overall, AI Solutions Architects bridge the gap between technical teams and business objectives to drive successful AI adoption.

What skills and qualifications are needed to be an AI Solutions Architect?

To thrive as an AI Solutions Architect, you need expertise in machine learning, data science, and software engineering, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud), AI/ML frameworks (like TensorFlow or PyTorch), and relevant certifications are highly valued. Strong problem-solving, stakeholder communication, and project management skills set top performers apart. These competencies ensure effective design, deployment, and integration of AI solutions that align with business objectives.

How does an AI Solutions Architect collaborate with cross-functional teams during a project lifecycle?

AI Solutions Architects play a central role in bridging the gap between technical teams, such as data scientists and engineers, and non-technical stakeholders like business analysts and project managers. They are responsible for gathering requirements, designing scalable AI solutions, and ensuring alignment with business objectives throughout the project. Regular collaboration involves facilitating meetings, providing technical guidance, and translating complex AI concepts into actionable plans for all team members. This collaborative approach ensures that projects are delivered efficiently and meet both technical and business needs.

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

AspectAi Solutions ArchitectData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications in cloud platforms or AI toolsBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentDesigning AI solutions, collaborating with engineering teams, implementing AI models in productionAnalyzing data, building models, interpreting results to inform business decisions
Employer & Industry UsageTech companies, AI-focused firms, large enterprises integrating AI solutionsResearch institutions, tech companies, finance, healthcare, and marketing sectors

While both roles involve AI and data, an Ai Solutions Architect focuses on designing and deploying AI systems within organizations, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The architect role emphasizes solution architecture and implementation, often requiring knowledge of cloud platforms and engineering, while the Data Scientist concentrates on statistical analysis and model development.

How much does an AI Solutions Architect make?

An AI Solutions Architect typically earns between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and cloud platforms can earn higher salaries, often exceeding $180,000.

What does an AI Solutions Architect do?

An AI Solutions Architect designs and implements artificial intelligence solutions to meet business needs, often working with machine learning models, data pipelines, and cloud platforms. They analyze requirements, develop technical strategies, and collaborate with teams to deploy scalable AI systems, typically requiring knowledge of programming, data science, and AI tools. Their role ensures AI technologies are effectively integrated into organizational processes.

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

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

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

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

Infographic showing various Ai Solutions Architect job openings in Decatur, GA as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $142,509 per year, or $68.5 per hour.

Enterprise AI Solutions Architect

Alvarez & Marsal

Atlanta, GA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 5 days ago


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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