• A growing, technology-driven professional services organization is seeking an AI Architect to join its team. • This role is a senior technical and strategic leadership position responsible for driving the organization’s AI vision from concept through commercialization. • The AI Architect will design and implement AI systems, lead development teams, guide enterprise AI architecture, and partner closely with executive leadership and business stakeholders to identify opportunities, drive adoption, and deliver measurable business value. • This role blends deep hands-on technical expertise with product strategy, business alignment, and organizational leadership. • Experience deploying AI solutions at scale in real-world production environments is essential. Experience in legal services, litigation support, medical records, insurance, or other regulated industries is a strong plus.

• Exploratory analyses and data visualization to understand the business and to apply LLM-based solutions; • Development of AI applications using vector databases, LLMs, single-agent and multi-agent architectures; • Development of validation pipelines for LLM applications, including datasets and LLM-as-a-judge approaches; • Development of data pipelines; • Development of small back-end and front-end components to build proofs of concept for LLM applications; • Reading technical blogs, conference talks and research papers to generate hypotheses for improving LLM applications.

Role Description This is a high impact leadership role within our Government Solutions Group, where you will own and drive some of the most strategically important initiatives in the company. You will have direct influence over the direction of critical product lines that serve government customers, shaping technical architecture and engineering strategy. If you're looking for a high-visibility position with the autonomy to make a lasting impact at the intersection of technology and public sector innovation, this is it. - Lead and develop single or multiple engineering teams, tech leads, and senior individual contributors - Define and drive the technical roadmap for your organization in partnership with Product, Design, and other Engineering leaders - Own the end-to-end delivery of large-scale, cross-functional initiatives spanning multiple quarters and teams - Establish engineering excellence through best practices, architectural reviews, and quality standards - Build a high-performance culture focused on innovation, accountability, and continuous improvement - Partner with senior leadership to shape organizational strategy and influence company-wide technical decisions - Recruit, mentor, and retain top engineering talent; develop the next generation of engineering leaders - Manage complex stakeholder relationships across the organization and communicate effectively at all levels - Drive operational excellence for mission-critical systems with high availability requirements - Balance technical debt reduction with feature delivery while managing competing priorities Qualifications - BS/MS in Computer Science, Engineering, or equivalent practical experience - 10+ years of software engineering experience with at least 5+ years in engineering management - Proven track record of building, scaling, and leading high-performing engineering organizations - Deep technical expertise in distributed systems, microservices architecture, and cloud infrastructure (AWS, GCP, or Azure) - Strong experience with backend technologies and large-scale data systems - Demonstrated ability to drive large, ambiguous, cross-functional programs from concept to delivery - Excellence in hiring, developing, and retaining top engineering talent - Outstanding communication skills with ability to influence at all levels - Experience operating and scaling 24/7 mission-critical production systems Preferred Qualifications - Proven track record of leading and delivering complex projects within a government or public sector environment - Active security Clearance is a plus Leadership Competencies We Value - Agility and Adaptability: Skill in navigating ambiguity and driving alignment across diverse stakeholders in fast changing environments - Strategic Thinking: Ability to translate business objectives into technical strategy and organizational plans - Execution Excellence: Track record of delivering complex projects on time while maintaining quality - Technical Credibility: Ability to earn respect from senior engineers and make sound technical judgment calls - People Development: Passion for growing careers and building inclusive, high-performing teams Benefits - Be well compensated. Possibility for equity - Receive best-in-class benefits, including premium medical, dental, and vision coverage and 20 days paid time off - Play a critical role in building a market-changing product in the exciting realm of Space - Thrive in a fast-paced, dynamic environment that rewards initiative, innovation, and getting things done Salary Band $200,000-$250,000 Company Description SkyFi is an equal-opportunity employer that values and encourages workplace diversity.

Role Description We are seeking an AI Software Engineer with strong full‑stack engineering capabilities and hands-on experience integrating Generative AI technologies into real-world solutions. This role is ideal for engineers who excel in software development fundamentals, enjoy solving complex client challenges, and are passionate about leveraging modern AI tools to deliver meaningful business outcomes. The ideal candidate brings a strong balance of engineering rigor, rapid learning, ownership, and the ability to translate technical solutions into clear, client-ready outputs. Success in this position requires not only technical excellence but also adaptability, client empathy, and the communication and collaboration skills needed to drive impact in dynamic, fast-paced environments. This role plays a key part in designing, building, and deploying production-ready AI-powered applications within the Azure ecosystem. Qualifications - Professional experience applying AI in real-world, production use cases, not just experimentation or personal projects. - Experience designing and architecting AI workflows and AI pipelines in client or enterprise environments including patterns such as RAG, agentic systems, and multi-model orchestration. - Advanced prompt engineering skills and experience implementing LLM evaluations. - Ability to design end-to-end AI architectures on cloud platforms (Azure preferred) composing AI services for inference, search, and document processing. - Understanding of core AI model training concepts: train/validation/test splits, bias-variance tradeoff, model complexity tuning, and evaluation strategy. - Deep expertise in backend development using .NET or Python, with strong frontend capabilities in React or Angular. - Ability to define and champion project structure, module boundaries, and coding standards for large-scale codebases. - Experience leading technical decisions on architecture, patterns, and conventions for a project team. - Strong command of OOP principles, SOLID, and design patterns applied naturally and able to coach others on their appropriate use. - Experience with SQL, NoSQL, and vector databases designing data models that support AI features and efficient retrieval at scale. Requirements - Proven ability to design scalable, resilient systems choosing the right cloud services, architectural patterns, and infrastructure for the problem at hand. - Ability to evaluate and articulate trade-offs between cost, performance, complexity, and maintainability. - Experience with Infrastructure as Code (Terraform, Bicep, or similar) treating infrastructure with the same rigor as application code. - Experience designing cloud-native solutions that leverage the right tool for the job: compute, storage, messaging, caching, networking rather than defaulting to familiar patterns. - Confident leading technical discussions with clients independently presenting solution options, trade-offs, and recommendations clearly. - Ability to bridge business and technical language understanding client problems deeply enough to propose the right technical approach, and explaining technical decisions in terms clients trust. - Experience contributing to presales and requirements gathering providing credible technical input that shapes new engagements. Benefits - Coaches and mentors junior and mid-level engineers conducting impactful code reviews, pair programming sessions, and career conversations that drive real growth. - Develops career growth plans with team members, helping them identify their strengths, close gaps, and progress through their career levels. - Fosters a collaboration and knowledge-sharing environment running knowledge sessions, promoting best practices, and creating spaces where engineers learn from each other. - Builds community within the practice someone who naturally brings people together, creates psychological safety, and makes the team a place people want to be part of. - Runs parts of practice operations contributing to onboarding processes, team rituals, practice standards, and the operational rhythms that keep the group effective. - Works across disciplines collaborates effectively across Data, AI, and Software teams to deliver integrated solutions. Mindset, Attributes & Soft Skills The ideal candidate demonstrates a strong ownership mindset, taking responsibility for deliverables, following through on commitments, and consistently ensuring high‑quality outcomes. They show agency by proactively identifying opportunities, proposing solutions, and driving initiatives forward, while maintaining accountability and a high standard of professional integrity. With a clear focus on delivering measurable business value and client satisfaction, they quickly absorb new technologies, business domains, and client environments. They also leverage AI-assisted tools to enhance development speed, creativity, and overall solution quality. In addition to these attributes, the candidate excels in communication—able to explain complex technical concepts clearly to both technical and non-technical audiences, and presenting information in a compelling, client-ready manner. They are effective at client engagement, skilled in translating business needs into precise technical requirements and managing expectations throughout a project lifecycle. Collaboration comes naturally, allowing them to work seamlessly with cross-functional teams including product managers, business stakeholders, and technical leaders. Their adaptability enables them to shift quickly between industries and client contexts, particularly within a consulting environment. They are comfortable gathering requirements, understanding constraints, and shaping solutions that align with client objectives. Above all, they demonstrate professionalism through reliable communication, structured thinking, and consistent delivery in every aspect of their work. If you’re eager to push the boundaries of Generative AI, continuously learn, and contribute to high-impact technical solutions, we encourage you to apply and be part of our journey.