Senior Solutions Architect, CSP

Job Title: Senior Solution Architect, Communications Service Providers

Location: Remote (US Only)

• We cannot sponsor or transfer any visas, of any kind now or in the future (ex. OPT, EAD, H1B, H4, etc.) *

Up to 50% travel to customer sites, partner workshops and Ocient offices as needed

Hiring Manager: VP of CSP Solutions

Estimated Salary Range Base: $160,000 to $200,000

Expected OTE: $214,000 to $300,000

• The salary offered for this position will be based on a candidate’s experience and skill demonstrated during interviews and other evaluations

Position Overview The Senior Solution 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 position OcientAIQ solutions across CSP use cases including cybersecurity, autonomous networks, billing and revenue assurance, lawful disclosure, and network performance.

The core metric for this role is new customer acquisition. Performance against that metric depends on execution across four areas: securing technical wins, delivering successful proof-of-value engagements, achieving production readiness, and establishing 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 repeatable technical win.
• Run customer Design Sessions to capture critical requirements such as; use cases, data sources, data volumes, ingest rates, success criteria, performance requirements, concurrency, retention, time-to-query ability, and deployment modalities.
• Assess customer needs to determine the best-fit OcientAIQ solution and identify patterns that can become new repeatable offerings. Design end-to-end OcientAIQ and Telemetry as a Service solutions, including 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 Solution Engineering and Solution Architect teammates.

Ideal 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