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We enable rapid analysis and management of the world’s largest datasets.
The Role
Lead technical strategy and win execution for CSP opportunities: run discovery workshops, design OcientAIQ hybrid architectures, integrate with cloud data/AI ecosystems, orchestrate partners, author customer specifications, support pilots and production sizing, and translate field feedback into product and engineering improvements.
Summary Generated by Built In
About Ocient:
Ocient is building OcientAIQ™ – a complete ecosystem for delivering trusted agentic AI solutions at petabyte scale, for the organizations that can't afford to get AI wrong. Our customers protect networks, secure nations, and power the global economy. The problems we solve are genuinely hard, and the work matters.
Founded in 2016 by the team that built Cleversafe (acquired by IBM in 2015), Ocient is headquartered in Chicago with a remote-first global team. We are a carbon-neutral company backed by leading investors including Greycroft, OCA Ventures, In-Q-Tel, and Buoyant Ventures.
Job Title: Senior Solutions Architect, Communications Service Providers
Location: Remote (US Only)
Up to 50% travel to customer sites, partner workshops and Ocient offices as needed
*We cannot sponsor or transfer any visas, of any kind now or in the future (ex. OPT, EAD, H1B, H4, etc.)*
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 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, and 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 economics matter: on-prem capacity-based economics for the heavy analytics work, with governed, business-ready data products ready to publish to the cloud platforms customers already own.
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.
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
Interview Requirements: All interviews are conducted via video and require candidates to have their camera on for the duration of the session. The use of video filters, face-altering effects, or virtual backgrounds is not permitted for security and verification purposes.
We are not open to using an agency or staffing company at this time. We do not accept unsolicited agency or staffing resumes and we are not responsible for any fees related to unsolicited resumes.
Ocient is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex (including pregnancy status), sexual orientation, gender identity, national origin or ancestry, ethnicity, citizenship status, age, physical or mental disability, veteran status, marital status, parental status, genetic information, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, please contact [email protected] for more information.
All official Ocient job postings and recruiting communications will come directly from our team via our Careers page, LinkedIn, or from an ocient.com email address. If you receive communication about a role from any other source, please treat it with caution and direct questions to [email protected].
Skills Required
- 7+ years customer-facing solutions architecture, sales engineering, field engineering, or technical consulting experience with significant CSP/telecom/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 environments.
- Hands-on integration experience with at least one major cloud data or AI ecosystem (Databricks, Snowflake, BigQuery, Redshift, Azure, AWS, Google Cloud) and exposure to AI, RAG, agentic, or LLM application frameworks.
- Experience with high-volume ingest patterns (Kafka, file-based ingest, object storage, streaming, batch, CDC) and data movement architectures.
- Familiarity with retrieval-augmented generation, structured data products, data lineage, and governance trade-offs for designing data layers for agentic AI.
- Hands-on experience with ETL/ELT processes and strong SQL skills.
- Hands-on experience with CSP telemetry and data formats (CDR, IPDR, IPFIX/NetFlow, ASN.1, syslog, OSS event streams, packet metadata, KPI feeds).
- Strong technical leadership, business acumen, and ability to earn trust with customer architects, partner principals, and executives.
- Strong writing and presentation skills for requirements documents, partner briefs, and executive narratives.
- Self-starter with strong organizational skills across multiple concurrent opportunities; willingness to travel up to 50%.
- Experience working alongside strategic SI or technology partners on joint customer engagements.
- Familiarity with semantic layers, ontology, knowledge graphs, or graph analytics.
- Hands-on experience designing data products, pipelines, or knowledge structures for AI agent or LLM consumption.
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The Company
What We Do
Ocient is a Chicago-based, venture-funded startup building a SQL compliant, exabyte-scale database platform that achieves better performance than Hadoop and NoSQL systems. It is a distributed system optimized for NVMe drives, RDMA networks and high core count processors and is written in C++. We are led by a management team with seven successful st
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