• Lead discovery workshops to understand client objectives, existing systems, data flows, and constraints. • Define target-state architecture for CRM, CDP, and marketing automation, including integration patterns, governance, and scalability considerations. • Translate business problems into technical solution options, with clear trade-offs, effort estimates, and risks. • Guide implementations end-to-end, from documentation and planning through detailed requirements and support for build. • Produce high-quality technical artifacts including architecture diagrams, data flow maps, event and identity models, and implementation roadmaps. • Write clear technical requirements for engineers, partnering with technical project management to scope, sequence, and deliver work. • Partner with client stakeholders to drive decisions and keep delivery aligned to outcomes, timelines, and dependencies. • Architect and support integrations across the MarTech stack, including CDPs, marketing automation platforms, analytics, attribution, and enrichment tools. • Design data schemas and event tracking plans that support lifecycle use cases and analytics needs. • Support ETL and reverse ETL patterns to activate data into downstream destinations. • Ensure solutions account for omnichannel transactional and marketing messaging, customer journeys, user states, and event-driven automation.

• Lead the design and architecture of customer’s Agiloft instance, ensuring solutions are clean, effective, scalable, maintainable, and meet the complexity of enterprise-level needs. • Capture, analyze, and document client requirements. • Develop comprehensive design documents and implementation plans for team collaboration and execution. • Provide mentorship and constructive feedback to junior team members, ensuring high-quality deliverables. • Manage client interactions, addressing escalations with a solutions-focused mindset. • Deliver thorough documentation and client training to ensure successful solution adoption. • Offer feedback to product and engineering teams to drive continuous product improvement. • Support and advise system integration (SI) partners to enhance overall implementation outcomes. • Contribute to internal initiatives aimed at improving implementation processes and client success. • Maintain current, deep knowledge of Agiloft product offerings, roadmap, and best practices. • Apply product knowledge effectively in delivering high-quality consulting services • Proactively learn and adopt new features, including AI-enabled capabilities, and translate them into customer value. • Actively and responsibly use AI to improve efficiency, productivity, and value delivery, continuously evaluating where AI can enhance processes, workflows, and outcomes. • Approximately 10% travel required. • Other duties as assigned

• Support the Health sales team by leading the creation, development, and ongoing maintenance of sales demo environments and presentation materials. • Arm the sales team with client success stories, KPI analyses, and reports that quantify client ROI. • Participate on sales calls, providing demonstrations of our solutions and technical support for explanations of our products. • Lead proof of concept (POC) engagements with goal of turning POCs into production clients. • Field questions that range from technical understanding of ML models to general understanding of implementation tasks and milestones. • Lead discovery meetings with prospective clients to map underwriting processes and identify operational and financial enhancement opportunities. • Validate report and presentations of findings to describe the value of Gradient AI’s solutions. • Provide direction on technical aspects of implementations to ensure Statements of Work align with the clients' intentions and our team’s delivery expectations. • Support internal initiatives that further organization product development.

Role Description The Senior Solutions Architect owns the technical win for assigned CSP opportunities, partnering with the customer, Account Executives, Field CTOs, Delivery, Product, and strategic partners from discovery through proof of value and production planning. You work shoulder to shoulder with Account Executives to build pipeline, qualify opportunities, prove technical value, and drive the technical close. You will design OcientAIQ solutions across CSP use cases including: - Cybersecurity - Autonomous networks - Billing and revenue assurance - Lawful disclosure - Network performance You will orchestrate joint engagements with strategic SI and technology partners and architect the integration between Ocient and the customer's existing cloud data and AI ecosystem. The role is measured by technical wins, successful proof-of-value engagements, production readiness, and repeatable customer outcomes. Responsibilities - Lead technical strategy for assigned CSP opportunities, partnering with Account Executives to build pipeline, qualify opportunities, shape deal strategy, and drive the technical win. - Run customer discovery workshops to gather use cases, data sources, data volumes, ingest rates, success criteria, performance requirements, concurrency, retention, time-to-queryability, and deployment modalities. - Design end-to-end OcientAIQ and Telemetry as a Service solutions, including data products, governance, lineage, and integration with the customer's cloud data and AI environment. - Advise customers on hybrid architecture and economics, balancing on-prem capacity economics for heavy analytics with cloud consumption models for downstream AI, reporting, and application workloads. - Orchestrate technical partner engagement on joint opportunities, defining integration points, governance handoffs, and joint solution architectures. - Own customer specification documents covering requirements, success criteria, assumptions, risks, architecture decisions, and future roadmap. Iterate as engagements evolve. - Partner with Delivery, Data Engineering, and Customer Solutions on schema, workload testing, pilot execution, and system sizing for pilot and production. Tune workloads with Ocient's workload optimization team for CSP-specific data shapes. - Create demonstrations, reference architectures, and partner co-selling collateral with Account Executives. - Carry field feedback into Product Management and Engineering. Help onboard and develop Solutions Engineering and Solutions Architect teammates. Qualifications - 7+ years of customer-facing solutions architecture, sales engineering, field engineering, or technical consulting experience, with significant experience in CSP, telecommunications, network analytics, OSS/BSS, security analytics, or high-volume telemetry environments. - Deep hands-on experience with OLAP, real-time analytics, and data warehousing across cloud and on-prem. - Hands-on integration experience with at least one major cloud data or AI ecosystem such as Databricks, Snowflake, BigQuery, Redshift, Azure, AWS, or Google Cloud, plus exposure to AI, RAG, agentic, or LLM application frameworks. - Experience with high-volume ingest patterns, including Kafka, file-based ingest, object storage, streaming, batch, CDC, or similar data movement architectures. - Familiarity with retrieval-augmented generation, structured data products, lineage, and governance, and the trade-offs involved when designing data layers for agentic AI. - Strong technical leadership and business acumen. You earn trust with customer architects, partner principals, and executives in the same conversation. - Hands-on experience with ETL / ELT, SQL, and CSP data formats such as CDR, IPDR, IPFIX/NetFlow, ASN.1, syslog, OSS event streams, packet metadata, KPI feeds, and similar telemetry. - Experience working alongside strategic SI or technology partners on joint customer engagements is a plus. - Familiarity with semantic layers, ontology, knowledge graphs, or graph analytics is a plus. - Hands-on experience designing data products, pipelines, or knowledge structures for AI agent or LLM consumption is a plus. - Strong writing and presentation skills for requirements documents, partner briefs, and executive narratives. - Self-starter with strong organizational skills across multiple concurrent opportunities. - Willing to travel up to 50% of the time.