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AI Architect

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Synechron
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 130000 - 140000 USD Yearly USD 130000.00 140000.00 YEAR
Job Description & How to Apply Below

This range is provided by Synechron. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

Direct message the job poster from Synechron

Associate Specialist - Recruitment at Synechron

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry‑leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile‑first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

We are seeking a highly skilled and innovative AI Architect to lead the design and implementation of cutting‑edge AI and ML solutions. In this role, the candidate will define the strategy and roadmap for our AI initiatives, spanning traditional machine learning and Generative AI (GenAI) use cases. The candidate will collaborate with cross‑functional teams to translate business needs into scalable, ethical, and effective AI‑driven solutions.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $130k - $140k/year & benefits (see below).

The Role

Responsibilities:

  • Define and drive the AI/ML architecture and strategic roadmap, emphasizing Generative AI and innovative use cases.
  • Design comprehensive end-to-end AI solutions, including data ingestion
    , feature engineering
    , model training
    , inference pipelines
    , and monitoring frameworks
    .
  • Lead the integration of Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG) frameworks utilizing tools such as Lang Chain, Lang Graph
    , or similar.
  • Collaborate with stakeholders across business units to convert requirements into robust AI technical solutions.
  • Evaluate, select, and recommend appropriate AI/ML tools, cloud services, frameworks, and libraries tailored to specific project needs.
  • Ensure model governance, security, explainability
    , and compliance with ethical standards and regulatory requirements.
  • Guide engineering teams in implementing AI components that are scalable, reliable, and high‑performing.
  • Work closely with Dev Ops to establish CI/CD pipelines for AI models, including model versioning
    , A/B testing
    , and deployment strategies.
  • Stay informed about industry trends, academic research, and emerging technologies in AI, and advocate for best practices.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field;
    Ph.D. is a plus.
  • Extensive experience in designing and deploying AI/ML solutions at scale.
  • Strong expertise in deep learning, natural language processing (NLP), and Generative AI applications.
  • Hands‑on experience with LLMs, RAG frameworks, and relevant tools like Lang Chain, Lang Graph, or equivalents.
  • In‑depth understanding of data pipelines, feature engineering, and model lifecycle management.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization/orchestration (Docker, Kubernetes).
  • Knowledge of AI model governance, security, privacy, and ethical AI practices.
  • Proven ability to lead technical teams and communicate complex AI concepts effectively.
  • Strong analytical, problem‑solving, and project management skills.

Preferred, but not required:

  • Publications or contributions in AI/ML research or industry.
  • Experience with CI/CD practices for ML workflows.
  • Familiarity with responsible AI standards and frameworks.

We offer:

  • A highly competitive…
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