In the age of AI, differentiation isn’t in what you build - it’s in the problems you choose to solve and the outcomes they unlock. That’s why we help leaders cut through the noise, focus on what matters most, and solve it right the first time. By fusing problem-first thinking, deep technical craftsmanship, and fast, flawless delivery, we de-risk transformation and deliver solutions that stick, scale, and prove their worth. With a deep bench of end-to-end technologists, architects, and engineers, no challenge is too complex and no solution is half-built. At Sparq, your mission is our mission. We’re modular by design - meeting you where you are and accelerating you toward where you’re meant to be. We don’t just guide - we climb with you. Embedded alongside your teams, we chart the course, build with precision, and navigate complexity until your outcomes are achieved. Built to solve, not just to build.
Principal Platform Engineer
Location
Worldwide
Posted
16 hours ago
Salary
0
Seniority
Lead
Job Description
Principal Platform Engineer
Sparq
Role Description As a Principal Platform Engineer, you will design, build, and support the core platform infrastructure that enables secure, observable, and reliable AI-enabled engineering workflows. You will partner closely with engineering teams to connect LLM platforms, internal systems, APIs, and developer tools into a scalable control plane. - Design and implement platform integrations across MCP, API gateways, LLM services, Azure infrastructure, and containerized environments. - Build the wiring between AI platforms, internal applications, Azure DevOps, GitHub, and supporting engineering workflows. - Develop control plane capabilities that support audit logging, human-in-the-loop approval gates, kill-switch functionality, output validation, and safe production usage. - Create and maintain evaluation harnesses to test, measure, and validate LLM-driven outputs before they are promoted into broader workflows. - Actively use AI tools, including Claude through our Anthropic partnership, to streamline tasks, improve the quality of your work, and share best practices with teammates while continuously seeking new ways to integrate AI into your everyday workflows. - Build observability dashboards and monitoring capabilities that give engineering and leadership teams visibility into platform health, usage, performance, and risk signals. - Partner with application, DevOps, security, and architecture teams to ensure platform components are reliable, scalable, secure, and aligned to enterprise standards. - Troubleshoot complex platform, integration, and deployment issues across Azure, containerized services, API layers, and AI platform components. - Provide technical leadership by helping define patterns, guardrails, and best practices for building and operating AI-enabled platform capabilities. Qualifications - Consultative approach and problem solving skills to successfully align digital solutions with long-term business goals of the client. - Hands-on experience using AI tools to enhance daily work, or a strong desire to do so, including a willingness to experiment, learn, and champion AI adoption within your role. - Commitment to understanding and exceeding client expectations. - Ability to perform project oversight and execution of deliverables. - Flexibility to adapt within a high-growth organization. - Ability to lead, mentor and motivate those around them. - Hunger for continuous learning and professional development. - Intellectual curiosity to provide creative solutions. - Full understanding of the software development life cycle. - Ability to positively impact fellow colleagues through effective leadership, presentations, coaching, etc. - Desire to work in a team environment. - Good interpersonal, written and verbal communication skills. Requirements Regardless of your specific role, we seek individuals who are excited to explore, adopt, and evangelize AI tools and methodologies. If you have experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech, you’ll fit right in. Benefits - Opportunity to work alongside a talented, diverse team in a collaborative and creative environment. - Ongoing investment in your growth through training, mentorship, and industry certifications. - Hands-on exposure to cutting-edge technologies across multiple industries. - Recognition programs and employee awards within an inclusive culture that celebrates great work, including our AI Innovators Program. - Remote or hybrid work options. Equal Employment Opportunity Policy Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic. We are committed to providing equal employment opportunities and believe in an inclusive workplace. If you require reasonable accommodations to participate in the job application or interview process, please let us know by contacting recruiting@teamsparq.com .
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• Lead AI Agent Strategy: Architect and drive the technical evolution of our customer-facing AI agents, ensuring they deliver intuitive, intelligent, and highly reliable interactions. • Innovate with Super Agents: Spearhead the development of "Super Agents"—complex, multi-agent systems capable of reasoning, planning, and executing multi-step tasks across our platform. • Workflow Automation: Design and implement robust frameworks to automate complex business workflows that agents can reliably execute, reducing manual overhead and increasing operational efficiency. • Collaborate: Work closely with product managers, data scientists, and cross-functional engineering teams to translate business needs into scalable agentic solutions. • Technical Leadership: Provide hands-on technical guidance, set best practices for LLM integration, prompt engineering, and agent orchestration, while safeguarding scalability, security, and performance. • Mentorship: Mentor senior engineers on AI/ML best practices, agentic design patterns, and the integration of emerging AI technologies into production systems.
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