At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: As a senior architectural leader within the Enterprise AI Hub, you will design and implement scalable AI systems aligned to Reltio’s enterprise AI strategy. You will partner with the Director, Enterprise AI to evolve the foundational architecture that enables secure, governed agentic workflows across the organization—helping to engineer the “Reltio Brain” (our Context Intelligence Operating System). In this role, you will evaluate cloud AI platforms, orchestrate vector databases, and help build the Model Context Protocol (MCP) gateways that securely connect AI to our corporate ecosystem. You will spend a meaningful portion of your time working directly with specialized AI Engineers to build the foundational primitives ("building blocks") that empower embedded AI Business Partners to innovate safely and rapidly. Job Duties and Responsibilities: Agentic Architecture & Orchestration: - Lead the application of advanced principles to design and develop the overarching architecture for multi-agent systems, moving beyond simple conversational RAG to deterministic, goal-driven planning loops. - Define how specialized agents communicate, delegate tasks, and maintain persistent state across complex business workflows using frameworks like LangGraph or CrewAI. Model Context Protocol (MCP) Governance: - Architect centralized MCP gateways. - Standardize how all internal agents securely discover, authenticate, and connect to enterprise systems (Salesforce, Reltio-on-Reltio, HRIS, Jira). - Eliminate bespoke API integrations in favor of a universal, auditable tool-calling ecosystem. Semantic Layer & Vector Infrastructure: - Enable the enterprise data grounding strategy with infrastructure design. - Establish advanced patterns for document ingestion, semantic chunking, and embedding model selection across the L1 (Personal), L2 (Team), and L3 (Enterprise) context hierarchy. - Select and optimize enterprise-grade vector databases (e.g., Pinecone, Milvus) for latency and recall accuracy. Deterministic Security & Access Control: - Implement rigid, deterministic software layers to govern probabilistic LLM outputs. - Design robust Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) mechanisms within the MCP layer to ensure strict data isolation and prevent sensitive context leakage or prompt injection attacks. Continuous Evaluation & Cost Optimization: - Partner with engineering leadership in the implementation and maturation of the Agentic Software Development Life Cycle (SDLC) - Implement continuous Agentic Evaluation (Evals) harnesses and LLM-as-a-Judge frameworks to monitor agent drift, hallucination rates, and silent failures in production. - Design intelligent model routing strategies (balancing frontier LLMs with Small Language Models) to optimize inference costs and throughput. Technical Leadership & Enablement: - Provide decisive architectural leadership, guiding complex technical decisions and ensuring alignment to enterprise standards. - Mentor a highly specialized pod of AI Engineers, enforcing rigorous systems-engineering standards. - Create formal networks and coordinate among groups within the organization, conveying AI capabilities to diverse stakeholders and assisting in translating them into measurable business ROI. Skills You Must Have: - Typically requires a minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience. This must include progressive software architecture and distributed systems engineering, with a minimum of 2+ years exclusively focused on production-grade generative AI, LLM orchestration, and autonomous agent deployment. - Deep, practical mastery of the Model Context Protocol (MCP) and its implementation for secure, universal enterprise tool calling. - Advanced expertise in multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, Semantic Kernel) and transitioning from basic scripting to fault-tolerant system design. - Authoritative knowledge of vector databases (Pinecone, Weaviate, Milvus), hybrid search architectures (dense/sparse retrieval), and advanced RAG optimization techniques at scale. - Strong security engineering mindset with the ability to build deterministic guardrails, data masking, and identity management (Okta/OAuth/RBAC/ABAC) over non-deterministic systems. - Command of modern AI observability and MLOps, including CI/CD for non-deterministic systems and tracing tools like LangSmith. - Extreme adaptability and a "builder" ethos: high tolerance for ambiguity and the agility to rapidly pivot architectures when the underlying foundation models or industry protocols evolve. Skills That Are Nice to Have: - Experience in a 500–2,000 employee cloud-native SaaS environment. - Experience working closely with core MDM, data engineering, or analytics teams. - Working knowledge of key business systems such as Salesforce, NetSuite, or Jira from a data-model and API-integration perspective. - Familiarity with local LLM deployment, SLM routing, or sandbox environment virtualization. - Prior involvement in setting up automated LLM evaluation pipelines (Evals). At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $132,000—$244,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

• Design and implement the agentic orchestration layer that powers AI-driven workflows • Build and iterate on agent-based systems using orchestration frameworks • Develop backend services, integrations, and automations • Work on data preparation and system integration • Contribute to both AI-native features and existing product capabilities • Own components end-to-end, proactively identifying improvements • Collaborate directly with a US-based engineering team

• To own the soul of our chatbot experience and transform our automated support from a "barrier" into a premium "Resolution Engine." • Ensure that every interaction a customer has with our brand is intuitive, helpful, and trustworthy • Design the seamless transition from "Bot to Human" • Use A/B testing to refine bot responses • Implement "Validation Loops" so the bot confirms it understands the user before acting • Establish strict protocols and guardrails to ensure the LLM remains within brand voice • Identify which manual 1-on-1 human tasks can be safely automated • Work with Support, Product, and engineering to ensure the bot’s knowledge base is synced

Description: SPS Commerce is a leading provider of cloud-based supply chain management solutions, serving a global network of retail trading partners. We foster a collaborative and inclusive work environment where innovation and continuous improvement are highly valued. Join SPS Commerce and be part of a dynamic team that's transforming the global retail supply chain! Position Summary: Join the team that is redefining the global supply chain. At SPS Commerce, we aren’t just adding a chatbot; we are building MAX, the world’s first agentic supply chain network. Leveraging 25 years of proprietary intelligence and billions of transactions, the MAX AI team is moving beyond simple dashboards to create autonomous agents that understand business intent and context. As a Senior AI Engineer, you will architect the RAG pipelines and AI Agents that power MAX Chat, Monitor, and Connect. You’ll work at the bleeding edge of the Model Context Protocol (MCP) to ensure our agents collaborate seamlessly across the retail ecosystem. If you want to lead the "Great Rewiring of Trade" and build secure, scalable AI that solves real-world logistics challenges this is your seat at the table. Key Responsibilities: - AI Orchestration & Agents: Design multi-step AI agents that don't just "talk" but take action, integrating external tools and APIs to resolve complex user requests end-to-end. - Prompt Engineering: Write and maintain structured system prompts that keep model behavior predictable and within expected boundaries. - Build and improve RAG pipelines: Develop and tune retrieval pipelines using vector search, reranking, and contextual compression to keep responses accurate and grounded. - Drive observability with LangSmith: Setting up observability and evaluation infrastructure to monitor for bias, latency spikes, and cost-per-request. - Harden the system against AI-specific threats: Identify and mitigate risks like prompt injection and context manipulation as part of normal engineering practice — not an afterthought. - Grow and share AI expertise: Stay current on LLM techniques and actively contribute to the team's shared knowledge. Location:  Preference is in our Minneapolis office but it is also available as a fully remote role across the US Required Qualifications: - A Bachelor’s degree plus 5 years of software development experience; a Master’s Degree plus 3 years of experience; a PhD without prior experience; or equivalent education and work experience - Proficiency in React and at least one backend language (preferably Python or JavaScript/TypeScript). Must be language-agnostic and willing to learn new stacks. - Experience with Langsmith or similar AI observability/troubleshooting tools (e.g., AWS observability). - Experience with RAG (Retrieval-Augmented Generation) pipelines, vector databases, and building/scaling AI Agents. - Familiarity with MCP (Model Context Protocol), Claude Code, and AI-assisted development tools (Co-pilot). - Hands-on experience with Kubernetes (K8s) and AWS (S3, Bedrock). - Strong understanding of Containerization. - Understanding of LLM-specific vulnerabilities, such as prompt injection and context-risk management. - Version Control: Git What We Offer: At SPS Commerce, we are committed to ensuring that each employee's compensation reflects their unique experiences, performance, and skills in their role. The salary range for this role considers several factors, including education, relevant skills, work history, certifications, location, and more. The annual salary range for this role is: $86,600 - $130,000 USD Annual. The actual salary offered will be determined based on the factors listed above and may fall anywhere within the range. SPS Commerce offers a comprehensive benefits package designed to support employees’ health, well-being, and financial security. Benefits are country-specific and aligned with local laws and market practices. Commitment to our Employees: At SPS we power connections that drive the world of commerce forward, and our success depends on making strong decisions, fostering innovation, delivering unparalleled customer solutions, and driving outstanding business performance. We achieve this by creating an environment where every employee feels a true sense of belonging. We embrace diversity, equity, and inclusion, ensuring everyone feels accepted, valued, and empowered to make a meaningful impact. We are committed to affirmative action and equal opportunity in all aspects of employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.