Gen AI Architect

Accord Technologies Inc; Charlotte (NC); Hybrid; USD 58,500 - 71,500; Full time

Job summary

An innovative tech company is seeking a Gen AI Architect to drive AI/ML architecture and develop innovative solutions for investment banking. Ideal candidates will have over 10 years of experience, expertise in Generative AI and a strong understanding of large-scale AI solutions. The role requires collaboration with stakeholders, adherence to compliance standards, and guidance of engineering teams. The work model is hybrid, requiring onsite presence from day one.

Qualifications

• 10+ years experience in AI/ML architecture and strategy.
• Strong expertise in large-scale AI solutions including LLMs.
• Experience with AI/ML tools like TensorFlow, PyTorch, and related frameworks.
• Understanding of cloud platforms such as AWS, Azure, and GCP.

Responsibilities

• Define and drive the AI/ML architecture and roadmap.
• Design comprehensive end-to-end AI solutions.
• Lead the integration of LLMs and RAG frameworks.
• Collaborate with stakeholders to create AI-driven solutions.

Skills

AI/ML architecture leadership

Generative AI expertise

Designing scalable AI solutions

Model governance and compliance

Strong problem-solving skills

Education

Advanced degree (Ph.D., Master’s) in Computer Science, Data Science, or AI

Tools

TensorFlow

PyTorch

Azure

LangChain

LangGraph

Job description

Gen AI Architect – Accord Technologies Inc

Location: Charlotte, NC (Onsite day 1, hybrid 3 days from office)

Duration: 12 months

Position type: W2 contract

Pay range: $65.00/yr - $65.00/yr

The Gen AI Architect will leverage advanced Generative AI models and Azure OpenAI services to develop innovative solutions for investment banking processes.

Responsibilities

• Define and drive the AI/ML architecture and roadmap, including both traditional machine learning and Generative AI use cases.
• Design comprehensive end-to-end AI solutions covering 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 LangChain, LangGraph, or similar.
• Collaborate with business stakeholders to translate requirements into scalable AI-driven technical solutions.
• Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries based on use case needs and industry best practices.
• Ensure models adhere to governance, security, explainability, and regulatory compliance, embedding ethical AI principles into system design.
• Guide engineering teams in the implementation of AI components, emphasizing scalability, reliability, and performance optimization.
• Partner with DevOps teams to establish CI/CD pipelines for AI, including model versioning, deployment automation, and ongoing A/B testing.
• Keep abreast of the latest industry research, breakthroughs, and emerging trends in AI, recommending adoption of best practices and innovative solutions.

Requirements

• Proven experience 10+ years, excel in leading AI/ML architecture and strategy in enterprise environments.
• Strong expertise in designing and deploying large-scale AI/ML solutions, including LLMs and RAG frameworks.
• Experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, or similar.
• Deep understanding of data workflows, feature engineering, model training, evaluation, and deployment.
• Knowledge of cloud platforms (AWS, Azure, GCP) and services tailored for AI deployment.
• Familiarity with model governance, security, explainability, and ethical AI standards.
• Experience in developing CI/CD pipelines for AI/ML, including model versioning, monitoring, and performance tuning.
• Strong problem-solving, communication, and stakeholder management skills.

Preferred (But Not Required)

• Advanced degree (Ph.D., Master’s) in Computer Science, Data Science, AI, or related fields.
• Publications or practical contributions to AI research and open-source projects.
• Experience working in regulated industries or environments requiring compliance and governance.
• Familiar with project management and Agile practices.