Technical Architect

Technical Architect Manchester, CT Job Details $170,000 - $200,000 a year 1 day ago Qualifications TensorFlow Search engines Azure Computer Science PyTorch IT system monitoring Scalable systems Prompt engineering Microservices Information security compliance AWS Solution architecture design Bachelor's degree Model deployment Feature extraction Mentoring Cloud Native Design Data pipelines Scalability Machine learning libraries Senior level AI Bachelor's degree in computer science Machine learning frameworks System security Graph databases Project stakeholder communication MLOps Generative AI Full Job Description AI Architect Must Have Technical/Functional Skills AI / GenAI Strong experience with Generative AI and Agentic AI architectures Hands on knowledge of LLMs, embeddings, RAG pipelines, prompt engineering, and agent frameworks Proficiency in Python for AI/ML development ML & Data Engineering Experience with ML/DL frameworks such as TensorFlow, PyTorch, scikit learn Knowledge of data engineering, feature engineering, and analytics pipelines Familiarity with vector databases, graph databases, and search engines Cloud & Platform Experience designing AI solutions on cloud platforms (AWS, Azure, or GCP) Strong understanding of cloud native, microservices, and API driven architectures Exposure to observability, monitoring, and logging for AI systems Security & Compliance Knowledge of data privacy, security best practices, and enterprise compliance standards Experience designing secure and governed AI solutions Roles & Responsibilities AI & Solution Architecture Define and own end to end AI architecture for enterprise solutions, from data ingestion to AI driven decisioning and insights. Design AI native platforms where GenAI and ML capabilities are embedded as core services, not bolt ons. Establish modular, reusable, and composable AI components aligned to enterprise architecture standards. Ensure scalability, performance, reliability, and security of AI systems in production. GenAI & Agentic AI Architect Generative AI solutions, including: o Large Language Models (LLMs) o Retrieval Augmented Generation (RAG) o Multi agent and agent orchestration patterns Define agent workflows, memory/context handling, tool integration, and decision confidence mechanisms. Guide responsible selection and usage of cloud based and open source LLMs. Data, ML & MLOps Design AI solutions leveraging modern data platforms, feature stores, vector databases, and knowledge graphs. Define MLOps / LLMOps pipelines for training, evaluation, deployment, monitoring, and lifecycle management. Implement mechanisms for model versioning, drift detection, cost optimization, and continuous improvement. Governance, Security & Responsible AI Ensure AI solutions adhere to enterprise security, privacy, and compliance requirements. Embed Responsible AI principles, including explainability, auditability, bias mitigation, and human in the loop controls. Define governance frameworks for model usage, access control, and operational oversight. Technical Leadership & Collaboration Act as technical thought leader for AI initiatives across delivery teams. Collaborate with product owners, UX designers, data engineers, cloud engineers, and DevOps teams. Provide architecture guidance, reviews, and mentorship to senior engineers. Communicate complex AI concepts clearly to technical and non technical stakeholders. Education Bachelor's degree

Salary Range:

$170000 - $200000 a year #LI-JH1 Location Manchester, CT Job Function

TECHNOLOGY

Role Technical Architect Job Id 401669 Desired Skills Artificial Intelligence Salary Range $170,000-$200,000 a year

Desired Candidate Profile Qualifications :

BACHELOR OF COMPUTER

SCIENCE