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Technology Specialist in AI/ML and Cloud Architecture

SysMind, LLCHartford, CT🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationHartford, CT, United States
Stakeholder ManagementGenerative AIMachine Learning

Job description

Location: Hartford, Connecticut 06103
Contract Duration: 12 Months
Experience Required: 8–10 Years

Job Description

We are seeking an experienced Technology Specialist in AI/ML and Cloud Architecture to define AI strategy, design enterprise-scale solutions, and lead the implementation of production-ready artificial intelligence and machine learning capabilities.

The ideal candidate will combine strong software engineering and cloud architecture expertise with hands-on AI/ML implementation experience, business acumen, governance knowledge, and executive-level communication skills. This role will help establish enterprise AI standards and drive AI transformation initiatives across complex business environments.

Primary Skills

  • Artificial Intelligence and Machine Learning (AI/ML)

  • AI/ML Solution Architecture

  • Cloud Architecture

  • Production AI/ML Deployment

  • Enterprise Solution Architecture

  • AI Strategy and Transformation

  • AI Governance and Standards

  • Executive Communication and Stakeholder Management

Secondary Skills

  • Generative AI and Large Language Models (LLMs)

  • Enterprise AI Integration

  • Data Engineering

  • Software Engineering

  • Cloud Infrastructure and Scalability

  • AI Risk Management and Responsible AI

  • Technical Governance and Architecture Standards

  • Business Strategy and Technology Alignment

  • Healthcare and Financial Services Technology

Key Responsibilities

  • Define and drive enterprise AI/ML strategy aligned with business objectives.

  • Design and implement scalable, secure, and reliable AI/ML solutions for production environments.

  • Develop enterprise architecture patterns and standards for AI adoption.

  • Lead AI transformation initiatives across business and technology teams.

  • Establish governance frameworks, technical standards, and best practices for enterprise AI solutions.

  • Evaluate AI/ML technologies, cloud platforms, and architecture approaches to identify suitable solutions.

  • Collaborate with executive stakeholders to communicate AI strategy, technical recommendations, risks, and business outcomes.

  • Ensure AI solutions meet enterprise requirements for scalability, security, reliability, and governance.

  • Guide engineering, data, and cloud teams through solution design, implementation, and deployment.

  • Identify opportunities to improve business processes and operational efficiency through AI/ML adoption.

Required Qualifications

  • 8+ years of experience in software engineering, data engineering, cloud architecture, solution architecture, or related technical fields.

  • At least 3 years of hands-on experience designing and deploying AI/ML solutions in production environments.

  • Deep expertise in AI/ML concepts, solution architecture, and cloud technologies.

  • Experience defining AI strategies and implementing enterprise-scale technical solutions.

  • Strong understanding of technology governance, architectural standards, and enterprise transformation.

  • Excellent business acumen and executive-level communication skills.

  • Proven ability to lead cross-functional teams and influence technical and business stakeholders.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
We are committed to providing reasonable accommodations to qualified applicants with disabilities and for sincerely held religious beliefs, as required by applicable law. Applicants who require a reasonable accommodation during the hiring process may request assistance.
Employment may be contingent upon the successful completion of job-related pre-employment screening, which may include background and reference checks and, where permitted by applicable law and applicable to the position, drug testing. All such screening will be conducted in accordance with applicable federal, state, and local laws.

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