Senior AI Solutions Architect at Magellan Jets

Quincy, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Apr, 26

Salary

180000.0

Posted On

10 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solutions Architect, Software Engineering, LLM Technologies, Cloud Architectures, Backend Frameworks, APIs, Microservices, Data Processing, Model Monitoring, Agile Methodologies, Java, Python, CI/CD Pipelines, DevOps, Prompt Engineering, Model Evaluation

Industry

Airlines and Aviation

Description

ABOUT MAGELLAN JETS: Founded in 2008 and now one of the largest private aviation providers, Quincy, MA-based Magellan Jets is a premier provider of private aviation solutions, offering a comprehensive range of Jet Card ownership, On-Demand Charter, and Aircraft Sales and Management. With a focus on personalized service, Magellan Jets is dedicated to delivering customized and unparalleled flying experiences to its Private Clients worldwide. Magellan Jets and its FAA-certificated Flight Operations team lead one of the industry’s most comprehensive safety management systems and protocols providing peace of mind to the most discerning travelers. POSITION SUMMARY: 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. ESSENTIAL FUNCTIONS: 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. COMPETENCIES: Required Experience 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. Knowledge 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. Skills 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. Abilities 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. MANAGEMENT/SUPERVISORY RESPONSIBILITIES (if applicable): This position doesn’t have any management or supervisory responsibilities. WORK ENVIRONMENT: Location: Primarily office-based, with 1 remote/ work from home day each week. Conditions: General office environment with moderate noise levels PHYSICAL DEMANDS: Extended periods sitting at a desk or workstation. Occasional walking/ movement between work areas (e.g., meetings, restrooms, or kitchen). Repetitive Hand and Wrist Movements via frequent typing and use of a mouse. Light lifting of office supplies, documents, or equipment (up to 20 lbs). Screen Use: Prolonged use of a computer screen. POSITION TYPE AND EXPECTED HOURS OF WORK: This is a Full-Time Exempt position. TRAVEL: Limited, but may require occasional overnight travel for industry conferences, client meetings, or operational oversight at other locations. ADDITIONAL ELIGIBILITY QUALIFICATIONS: N/A AFFIRMATIVE ACTION PLAN/EQUAL EMPLOYMENT OPPORTUNITY (AAP/EEO) STATEMENT: Magellan Jets is an equal opportunity employer and is committed to diversity in its workforce. We consider all qualified applicants without regard to race, color, national origin, gender, age, disability, or veteran status, in accordance with applicable law. OTHER DUTIES: This job description is intended to convey information essential to understanding the scope of the Senior AI Solutions Architect position. It is not an exhaustive list of responsibilities, duties, and skills required for the role. Magellan Jets reserves the right to amend this job description at any time to reflect business needs and operational priorities. BENEFITS: At Magellan Jets, we value the well-being of our team and are proud to provide a robust benefits package for all full-time, exempt employees. Health & Wellness 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) Financial & Retirement Benefits: 401(k) Retirement Plan with an employer match Fitness Reimbursement Program Pet Insurance Discount The total target compensation for this role will be between $150,000-$180,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include other Magellan Jets-sponsored benefits. OUR CORE VALUES: We believe the foundation of exceptional service begins with the best people in the business that see each interaction as an opportunity to grow a relationship. Our internal culture is felt externally by our private clients because of our alignment on our core values across the business, Lead with Safety: Deliver the uncompromising commitment to safety Care Deeply: Own everything you do and constantly improve Create Amazing: Develop, cultivate and share a prosperity mindset Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Magellan Jets, please go directly to our Careers Page: https://magellanjets.com/careers. Magellan Jets will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Magellan Jets will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Magellan Jets Talent and People Operations professionals will only be sent from @magellanjets.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.

Responsibilities

The AI Solutions Architect leads the design, development, and implementation of AI solutions that drive business impact. This role involves collaborating with various teams to identify opportunities and deliver scalable prototypes and production-grade systems.