Senior AI Solutions Architect

Magellan Jets • Quincy, MA

1d • $150,000 - $180,000 • Hybrid

About The Position

The AI Solutions Architect is responsible for leading the design, development, and implementation of advanced AI and Generative AI solutions that drive strategic business impact. This role partners closely with cross-functional stakeholders to identify high-value opportunities, define AI strategies, and deliver scalable prototypes, POCs, and production-grade systems.
With deep expertise in software engineering, LLM technologies, and cloud architectures, the AI Solutions Architect builds and operationalizes AI frameworks, ensures technical excellence, and guides teams in adopting emerging AI/ML best practices. This position requires strong leadership, communication, and the ability to translate complex concepts into actionable solutions while navigating ambiguity in a rapidly evolving technological landscape.

Requirements

• 6+ years of professional software engineering experience, or equivalent depth of experience demonstrating senior-level architectural ownership.
• 2+ years of hands-on experience building and deploying LLM-powered / GenAI applications in production.
• Experience developing and deploying ML models and integrating GenAI into production systems.
• Proven experience fine-tuning models, building pipelines, and evaluating model performance.
• AI/ML concepts, including LLM architectures, RAG patterns, fine-tuning methods, model evaluation, and prompt engineering theory.
• Software engineering principles, Java ecosystem fundamentals, and modern backend architectural patterns.
• RESTful API design principles, microservices architectures, event-driven systems, and distributed systems theory.
• Cloud computing concepts (Azure/AWS), containerization models, and serverless architectural approaches.
• Data management principles, including relational and NoSQL database design and indexing strategies.
• DevOps concepts, including CI/CD theory, version control workflows, and deployment principles.
• AI governance concepts, including model monitoring, risk management, and responsible AI standards.
• Trends in emerging AI/ML research, tooling, frameworks, and industry best practices.
• Design and architect scalable AI/ML solutions from concept through deployment.
• Develop high-quality Java code and work effectively with complementary languages (e.g., Python) for AI/ML workflows.
• Build and integrate APIs, microservices, and cloud-native applications in production environments.
• Develop training pipelines, data processing workflows, and end-to-end model evaluation mechanisms.
• Use AI-assisted development tools (e.g., GitHub Copilot) to enhance productivity.
• Apply quantitative and qualitative evaluation techniques to assess and improve model performance.
• Communicate technical concepts clearly through documentation, presentations, and cross-functional discussions.
• Execute Agile/Scrum development tasks and manage deliverables effectively.
• Lead complex, cross-functional AI initiatives from ideation to operationalization.
• Translate ambiguous business needs into well-defined AI opportunities and actionable solutions.
• Operate effectively as both an individual technical contributor and an architectural leader.
• Navigate uncertainty and bring clarity to unstructured or evolving problem spaces.
• Influence technical direction and achieve stakeholder alignment across varied audiences.
• Rapidly learn and apply new AI/ML technologies to real-world use cases.
• Balance near-term innovation demands with long-term system scalability and reliability.
• Prioritize and manage multiple initiatives in a fast-paced, dynamic environment.

Responsibilities

• Lead the end-to-end design and execution of AI-powered POCs, prototypes, and solutions to validate strategic use cases with measurable outcomes.
• Collaborate with Sales, Marketing, Engineering, and Business teams to assess needs, define AI roadmaps, and identify high-impact opportunities for innovation.
• Evaluate emerging AI/ML/GenAI techniques and incorporate relevant technologies into solution architectures and organizational standards.
• Build robust backend frameworks, APIs, microservices, and cloud architectures to support scalable AI workloads and integrations.
• Develop data processing routines, training pipelines, and evaluation workflows using LLMs (e.g., GPT, Claude, LLaMA) and other ML techniques.
• Implement Retrieval-Augmented Generation (RAG), fine-tuning, prompt orchestration, and model monitoring to enhance performance and reliability.
• Monitor solution performance using quantitative and qualitative benchmarks, including hallucination detection, latency analysis, and prompt quality evaluation.
• Establish engineering best practices and leverage AI-assisted development tools (e.g., GitHub Copilot) to improve productivity and code quality.
• Provide architectural guidance, technical mentorship, and leadership across cross-functional teams.
• Ensure backend systems are optimized for high transaction volumes and integrate seamlessly with existing platforms.
• Deploy AI solutions using cloud platforms (Azure or AWS), containerization technologies (Docker/Kubernetes), and serverless architectures.
• Implement CI/CD pipelines, manage version control, and ensure reliable, repeatable deployment processes.
• Drive adoption of agile/scrum methodologies to deliver iterative, high-quality solutions.
• Communicate complex AI concepts and technical decisions clearly to non-technical audiences.
• Build alignment across teams, influence technical direction, and ensure AI initiatives meet business objectives.
• Navigate ambiguity, establish clarity in evolving problem spaces, and lead the successful delivery of multifaceted initiatives.

Benefits

• Generous vacation and sick time policy
• 7 company paid holidays
• Medical Insurance (HMO or PPO)
• Dental and Vision coverage
• Health Reimbursement Arrangement (HRA)
• Healthcare Flexible Spending Account (HFSA)
• Dependent Care Flexible Spending Account (DCFSA)
• Rx Cost Share Assistance Program
• Life Insurance & Disability Benefits (100% Employer Paid)
• Free Employee Assistance Program (EAP)
• 401(k) Retirement Plan with an employer match
• Fitness Reimbursement Program
• Pet Insurance Discount

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees