AI/ML Solutions Architect
Job Description
We're searching for the architects of the audacious & the pioneers of the possible. 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.\n\n- Improver. Solver.
Futurist.\n- Great sense of humor.\n- ‘Possible. It is.’ Mindset.\n- Compassionate collaborator. Bold experimenter.
Tireless iterator.\n- Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.\n- Thinks in systems. Solves at scale.\n\nThis Isn’t for Everyone. 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.\n\nYour Mission: The Role\n\nsolving for better.\n\nYou are a transformation-owning, outcome-delivering, forward-deployed solver (fds) who architects AI-native systems that move from hype to real outcomes.
You’ll be a Directly Responsible Individual (DRI) for designing and spearheading applied AI architectures that reimagine how enterprises work, compete, and grow.\n\nLet’s be clear: this is not your typical architect role where success is measured in reference to diagrams and “innovation theater.” At Searce, you prototype, build, and deploy real-world AI platforms that embed into workflows, scale responsibly, and generate measurable enterprise impact.\n\nThis role is about engineering the future and building the bridge between business vision and a scalable reality. If you’re a strategist who can architect, a builder who can influence, and a visionary who can blueprint the complex, we’ve got a seat for you at the front of the table.\n\nYour Responsibilities\n\nwhat you will wake up to solve.\n\n- Architect & Lead: - Lead & own outcome of all the POCs to showcase solution capabilities. Deliver compelling presentations and demonstrations of Searce's capabilities.\n- Enable AI-powered Products: Develop and design comprehensive solution proposals, technical specifications and business use-cases.\n- Mentor & Grow: Guide the architectural design of cloud, data, and AI solutions, ensuring they are robust, scalable, and directly aligned with client requirements.\n- Optimize Performance & Cost: Continuously optimize AI models and their architectures for performance, efficiency, and cost-effectiveness, ensuring solutions deliver maximum value.\n- Pre-Sales Leadership: Lead technical engagements, workshops, POCs, and demos that showcase real AI ROI to enterprise customers.\n- Build & Deliver: Drive AI reference architectures into production-ready solutions that integrate seamlessly into enterprise IT ecosystems.\n- Client Partnership: Engage deeply with executives and technical leaders, becoming a trusted advisor on their AI transformation journey.\n- Stay Ahead: Track emerging AI/ML trends (generative AI, copilots, agent frameworks) and apply them intelligently to unlock enterprise value.\n\nExperience & Relevance\n\n- 8+ years in AI, ML and solution architecture with enterprise exposure.\n- Several years in technical leadership roles, managing architecture teams.\n- Proven success delivering applied AI architectures in enterprise environments.\n- Industry exposure across tech, finance, healthcare, retail, or manufacturing.\n- Background in consultative solution design and enterprise adoption.\n- Hands-on experience deploying AI-powered workflows, copilots, and automation.\n- Strong record of client-facing delivery and technical advisory leadership.\n\nFunctional Skills\n\n- Technical Consulting Mastery: Translate complex business challenges into applied AI-enabled architectures.\n- Team Leadership: Manage, mentor, and inspire high-performing AI solution architects.\n- Architectural Visionary: Designs and co-creates comprehensive solution blueprints, championing an engineering-first design philosophy.\n- Enterprise-Grade Architecture: Design AI solutions that integrate with IT systems, cloud platforms, and enterprise processes.\n- Pre-Sales & Technical Storyteller: Crafts compelling, client-ready proposals, architectural decks, and technical demonstrations.
Doesn't just present; shapes the strategic technical narrative behind every proposed solution.\n- Technology & Market Insight: A strong understanding of the AI/ML technology landscape, including emerging trends\n- Client Engagement: Strong communicator, equally comfortable with CxOs and data scientists.\n- Commercial Acumen: Understanding of how technology solutions impact business metrics, revenue, and return on investment (ROI).\n- Cross-Functional Technical Bridge: Learns the language of delivery, sales, and engineering—and acts as the bridge that keeps them in sync.\n\nTech Superpowers\n\n- AI/ML Expertise: Deep hands-on experience with LLMs, generative AI, RAG pipelines, conversational AI, and automation frameworks.\n- Cloud-Native Mastery: Proven work with AWS (SageMaker, Bedrock), Azure (OpenAI, Cognitive Services), GCP (Vertex AI).\n- Programming Depth: Strong in Python, APIs, model integration, microservices architecture.\n- MLOps & Scale: Skilled with deployment pipelines, monitoring, evaluation, and responsible scaling.\n- Responsible AI: Strong grounding in bias mitigation, explainability, privacy, and security.\n- Prototype to Production: Ability to rapidly iterate, demo, and scale solutions into enterprise-ready platforms.\n- Systems Thinking: See the full stack — from model architecture to workflow embedding to measurable outcomes.