MathCo
Onsite
- Chicago - 4 days in office (Mandatory)
Industry
- Pharma (Mandatory)
As platform architect/owner, you will:
Lead the end-to-end architecture, lifecycle, and governance of the AI/Analytics platform, defining standards, reusable components, and integration patterns.
Partner with AI/Data architects to enable scalable model deployment and enhance agentic orchestration.
Translate business needs into platform features, manage onboarding, documentation, and cross‑functional collaboration for platform adoption.
Oversee infrastructure‑as‑code, CI/CD, observability, and containerized environments to ensure reliability and scalability.
Evaluate complex technical proposals and develop actionable platform roadmaps and architecture recommendations.
Stay current on key AI platform developments and assess their impact on architecture and client strategy.
Coach others, recognize their strengths, and encourage them to take ownership of their personal development.
Skills Required
Experience in designing, architecting, or managing distributed data and AI platforms in cloud environments (AWS, Azure, or GCP).
Proven ability to carry out complex Proof of Concept (POC), pilot projects, and limited production rollouts for AI use‑cases, focusing on developing new or improved techniques and procedures.
Strong skills in pipeline/workflow optimization and data processing frameworks to evaluate architectural choices.
Years of Experience
Minimum of 8 years in relevant experience, preferably with a consulting background and experience with Pharma clients.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Pharmaceutical Manufacturing
Benefits
Medical insurance
Vision insurance
401(k)
#J-18808-Ljbffr
- Chicago - 4 days in office (Mandatory)
Industry
- Pharma (Mandatory)
As platform architect/owner, you will:
Lead the end-to-end architecture, lifecycle, and governance of the AI/Analytics platform, defining standards, reusable components, and integration patterns.
Partner with AI/Data architects to enable scalable model deployment and enhance agentic orchestration.
Translate business needs into platform features, manage onboarding, documentation, and cross‑functional collaboration for platform adoption.
Oversee infrastructure‑as‑code, CI/CD, observability, and containerized environments to ensure reliability and scalability.
Evaluate complex technical proposals and develop actionable platform roadmaps and architecture recommendations.
Stay current on key AI platform developments and assess their impact on architecture and client strategy.
Coach others, recognize their strengths, and encourage them to take ownership of their personal development.
Skills Required
Experience in designing, architecting, or managing distributed data and AI platforms in cloud environments (AWS, Azure, or GCP).
Proven ability to carry out complex Proof of Concept (POC), pilot projects, and limited production rollouts for AI use‑cases, focusing on developing new or improved techniques and procedures.
Strong skills in pipeline/workflow optimization and data processing frameworks to evaluate architectural choices.
Years of Experience
Minimum of 8 years in relevant experience, preferably with a consulting background and experience with Pharma clients.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Pharmaceutical Manufacturing
Benefits
Medical insurance
Vision insurance
401(k)
#J-18808-Ljbffr