Lead ai engineer.

As a Lead AI Engineer at Searce you will champion hands-on intelligent engineering, architect and deliver next-gen AI solutions that own client impact and scale meaningful business value. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language. ~ But if you’re the kind who questions why things are done a certain way— and then identifies 3 better ways to do it — we’d love to chat with you. You'll be a hands-on leader and principal technical expert at the core of our mission to futurify our clients' businesses. As the Directly Responsible Individual (DRI) for your AI Engineering squad, you'll own the transformation of ambitious AI concepts into tangible, high-impact realities by designing, developing, and deploying cutting-edge AI solutions that redefine capabilities and drive unprecedented growth. Beyond leading and mentoring a team of exceptional AI engineers, you'll remain personally engaged in the technical execution and strategic direction of your squad's most critical AI initiatives, holding full accountability for the entire lifecycle from ideation and proof-of-concept to scalable deployment and continuous optimization, directly contributing to our clients' success. Engineer & Deploy Intelligent Solutions: For your assigned technical components, you will execute the full-lifecycle development of innovative AI/ML solutions. This includes hands-on design, coding, testing, and deployment of robust, scalable intelligent systems, ensuring both technical excellence and profound business relevance for our clients. You will actively implement cutting-edge AI technologies, frameworks, and platforms, embedding fairness, transparency, and privacy considerations into every line of code. Drive System Scalability & Optimization: You will directly build and optimize scalable AI architectures and core system components, ensuring solutions are highly performant, reliable, and production-ready for long-term operational success. Lead by Impact and Example, Not by Control: You'll coach, mentor, and develop a high-performing Squad building a vibrant culture of continuous innovation, and technical excellence by cultivating a team of happier Do-ers. Live in "Always Beta" mindset, build learners, not followers. Collaborate for Seamless Integration: You will actively partner with AI Solutions Consultants, other AI engineers, data scientists, and internal teams to translate business challenges into precise technical requirements, implementing solutions that ensure seamless integration and adoption for our clients The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules. As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better. But for the transformation to embed lasting competitive advantage for our clients. Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities. Influence Through Technical Leadership: Steers decisions and outcomes through the clarity of code, robust data insights, and logical arguments. Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value. Partners effortlessly with fellow squad members, technical leads, and cross-functional stakeholders—aligning the squad's contributions toward shared technical and client success. Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency. Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work. Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions. Experience & Relevance A value-driven AI/ML Engineering Lead with 6+ years of experience in building and scaling end-to-end AI engineering and solution delivery. Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, Big Query ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations. Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment. Holds a degree (BE/BTech in CS/Engineering) complemented by and advanced degree (MS in CS/Engineering) and Google Cloud certifications. Bonus Points (you will thrive if you have)Passion for AI: 0→1, 1→10: Understands and has actively contributed to the lifecycle of building and scaling solutions or initiatives, from inception (0→1) to significant adoption and growth (1→10). An action-oriented individual with a clear bias for building, solving, and delivering real-world impact within projects and client engagements. If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘ Art of the possible ’.