

Openkyber
Generative AI Intelligence Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Intelligence Analyst on a fully remote contract, focusing on evaluating GenAI use cases and guiding architectural decisions. Requires strong experience in Generative AI systems, Python knowledge, and recent AI/ML project experience. Pay rate is competitive.
🌎 - Country
United States
💱 - Currency
Unknown
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 3, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Georgia
-
🧠 - Skills detailed
#Python #Observability #Scala #API (Application Programming Interface) #AI (Artificial Intelligence) #Monitoring #ML (Machine Learning)
Role description
RESPONSIBILITIES: OpenKyber has a client that is seeking a fully remote (for the right candidate) Solutions Architect - Generative AI for a contract role. This role sits at the intersection of architecture, product, and engineering. The ideal candidate will act as a technical bridge-helping evaluate GenAI use cases, guide architectural decisions, and enable delivery teams while protecting developer focus in a fast-moving AI ecosystem.
Summary: You will support a mature internal GenAI platform that powers hundreds of AI assistants used by tens of thousands of internal users. This is not a hands-on engineering role, but it does require strong technical depth, particularly in modern GenAI architectures. You will work closely with product owners, stakeholders, and engineering teams to ensure new use cases are architecturally sound, scalable, and aligned with platform standards. Key Responsibilities:
Serve as a Solutions/Delivery Architect for internal GenAI initiatives
Evaluate new GenAI use cases for architectural fit, scalability, and prioritization
Act as a bridge between stakeholders, product owners, and engineering teams
Provide technical consultation on: GenAI system design; Integrations and APIs; Architecture patterns and tradeoffs
Support onboarding and enablement of new AI use cases
Assist with setup tasks such as API access, configuration, and observability considerations
Help protect engineering teams by pre-vetting technical requirements and asking the right questions
Communicate technical concepts clearly to non-technical stakeholders
REQUIREMENTS:
Strong experience designing or supporting Generative AI systems
Hands-on knowledge of Retrieval-Augmented Generation (RAG) concepts and architectures
Experience with Python (code review and pipeline understanding - not heavy coding)
Solid understanding of APIs, system architecture, and integration patterns
Ability to work in LLM-agnostic environments and avoid vendor lock-in
Recent experience in AI or ML-related projects (field is evolving rapidly)
Soft Skills & Culture Fit (Critical):
High emotional intelligence and strong communication skills
Ability to join a well-functioning, fast-paced team and integrate smoothly
Comfortable navigating ambiguity and rapid change
Proven ability to say -no- constructively and guide stakeholders toward viable solutions
Strong collaborator who prioritizes trust and clarity
Nice to Have:
Experience supporting internal enterprise platforms
Familiarity with monitoring and observability for AI systems
Background working closely with product managers or product owners
Why This Role:
Work on high-impact, internal GenAI products at enterprise scale
Influence architecture and platform direction without owning day-to-day delivery
Fully remote opportunity for the right candidate
Partner with a strong product and engineering organization
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in OpenKyber's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. OpenKyber is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from OpenKyber and its affiliates, and service providers. Note that if you choose to communicate with OpenKyber via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
For applications and inquiries, contact: hirings@openkyber.com
RESPONSIBILITIES: OpenKyber has a client that is seeking a fully remote (for the right candidate) Solutions Architect - Generative AI for a contract role. This role sits at the intersection of architecture, product, and engineering. The ideal candidate will act as a technical bridge-helping evaluate GenAI use cases, guide architectural decisions, and enable delivery teams while protecting developer focus in a fast-moving AI ecosystem.
Summary: You will support a mature internal GenAI platform that powers hundreds of AI assistants used by tens of thousands of internal users. This is not a hands-on engineering role, but it does require strong technical depth, particularly in modern GenAI architectures. You will work closely with product owners, stakeholders, and engineering teams to ensure new use cases are architecturally sound, scalable, and aligned with platform standards. Key Responsibilities:
Serve as a Solutions/Delivery Architect for internal GenAI initiatives
Evaluate new GenAI use cases for architectural fit, scalability, and prioritization
Act as a bridge between stakeholders, product owners, and engineering teams
Provide technical consultation on: GenAI system design; Integrations and APIs; Architecture patterns and tradeoffs
Support onboarding and enablement of new AI use cases
Assist with setup tasks such as API access, configuration, and observability considerations
Help protect engineering teams by pre-vetting technical requirements and asking the right questions
Communicate technical concepts clearly to non-technical stakeholders
REQUIREMENTS:
Strong experience designing or supporting Generative AI systems
Hands-on knowledge of Retrieval-Augmented Generation (RAG) concepts and architectures
Experience with Python (code review and pipeline understanding - not heavy coding)
Solid understanding of APIs, system architecture, and integration patterns
Ability to work in LLM-agnostic environments and avoid vendor lock-in
Recent experience in AI or ML-related projects (field is evolving rapidly)
Soft Skills & Culture Fit (Critical):
High emotional intelligence and strong communication skills
Ability to join a well-functioning, fast-paced team and integrate smoothly
Comfortable navigating ambiguity and rapid change
Proven ability to say -no- constructively and guide stakeholders toward viable solutions
Strong collaborator who prioritizes trust and clarity
Nice to Have:
Experience supporting internal enterprise platforms
Familiarity with monitoring and observability for AI systems
Background working closely with product managers or product owners
Why This Role:
Work on high-impact, internal GenAI products at enterprise scale
Influence architecture and platform direction without owning day-to-day delivery
Fully remote opportunity for the right candidate
Partner with a strong product and engineering organization
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in OpenKyber's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. OpenKyber is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from OpenKyber and its affiliates, and service providers. Note that if you choose to communicate with OpenKyber via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
For applications and inquiries, contact: hirings@openkyber.com


