Sr AI/ML Engineer (GenAI)

Sorry, this job was removed at 10:23 p.m. (CST) on Wednesday, Jan 14, 2026
Alpharetta, GA, USA
In-Office
Artificial Intelligence • Cloud • Database • Analytics
The Role
Hello All,
We are Hiring AI/ML Engineer (Gen AI) in Alpharetta, GA. 
Below is the JD for the reference.

AI/ML Engineer
Alpharetta, GA (Hybrid 3 Days a Week)
Long Term
*** Local Candidates are Highly Preferred***
Artificial intelligence engineers leverage deep learning, neuro-linguistic programming (NLP), chatbots, knowledge graphs, generative AI, and agentic / robotic platforms to improve business outcomes and drive innovation.
The engineer will be part of a multidisciplinary team focused on shaping AI strategy and roadmaps by showcasing the potential for AI through early-stage solutions. This provides an opportunity to take advantage of emerging trends and technologies and make a real-world difference.
Objectives of this role:
• Manage and direct processes and R&D (research and development) to meet the needs of AI strategy
• Understand company and client challenges and how integrating AI capabilities can help lead to solutions
• Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
• Analyze and explain AI and machine learning (ML) solutions while setting and maintaining ethical and governance standards
Responsibilities:
• Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
• Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
• Manage a team in conducting assessments of the AI and automation market and competitor landscape
• Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Required skills and qualifications:
 8+ years of experience in applying AI to practical and comprehensive technology solutions
• Experience with ML, deep learning, TensorFlow, Python, NLP, and Agentic languages (e.g., LangChain / AutoGen)
• Experience in program leadership, governance, and change enablement
• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
Benefits & Perks:
Part of our mission statement is to provide a great life for our employees. We believe that happy employees make for a better company, so we take care of them. Here are a few of the perks we offer:
  • Flexibility for you to work in-office, hybrid or remote
  • Medical and Dental Premiums
  • Startup culture with opportunity to grow
  • Performance bonuses
  • Health, dental and vision insurance plans
  • Pursue growth and learning with career development expenses

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The Company
Cupertino, California
9 Employees
Year Founded: 2022

What We Do

Driving Innovation through Advanced Data and AI Services. We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge. To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas: 01 DATA MODERNIZATION Define Cloud strategy, architecture & roadmap Identify current landscape & catalog data sources Data warehouse design & setup Develop data governance & data quality framework Implement data management technologies Build data analytics capabilities Inculcate data driven culture A future-ready framework to serve all business use cases 02 DATA INTEGRATION & CLOUD MIGRATION Design & develop Optimized data models and data pipelines ETL/ELT workloads & monitoring Processes that scale up and down without performance problems Automate data migration between upstream/downstream (on-prem) systems and Cloud 03 DATA ANALYTICS & AI Data analytics consulting – use-case exploration and building analytics roadmap Data preparation and creating a single version of truth Dashboard & report development AI/ML model selection and development AI/ML model tuning and validation AI/ML model scaling, integration and deployment

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