Principal Solutions Architect

#WeAreParamount on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

 

In This Role You’ll:

 

The Principal Solutions Architect is the leading tech expert tasked with improving large media platforms. Their job includes designing new systems, bettering metadata workflows, and upgrading production using AI technology. This role owns the reference architecture for MAM/PAM ecosystems, media supply chains, metadata governance, and next-generation intelligent services. including RAG, vector search, and ML-based enrichment.

 

The ideal candidate combines deep media engineering expertise, hands-on software development ability, and modern architectural management. They operate as a strategic thinker and a tactical problem solver, supporting mission-critical production environments and guiding teams through technical transformation.

 

Responsibilities Include:

 

Architectural Ownership & Design:

 

• Lead the design of key systems, including Media Asset Management (MAM), Production Asset Management (PAM), metadata management, workflow coordination, and AI-supported production processes. These systems oversee the whole media lifecycle from ingest to production, archiving, and distribution.
• Design and evolve media architectures, including decoupling legacy platforms, introducing modern APIs, and enabling parallel migrations to cloud-native services.
• Define enterprise metadata models and enrichment strategies, including integration of AI-generated metadata (e.g., Twelve Labs or equivalent).
• Architect and deliver AI-driven services such as automated metadata enrichment, semantic search, content discovery, and intelligent support/ops agents using RAG.

 

Platform & Engineering Management:

 

• Design developer-friendly platform services, SDKs, and automation frameworks that enable safe, consistent workflow extension by internal engineering teams.
• Lead vendor evaluations, POCs, and platform pilots, progressing them to production-ready implementations with measurable success criteria.
• Establish and maintain architecture, code, and documentation standards. Work to improve the quality and consistency of engineering across all teams and with external partners.
• Serve as the final technical escalation point for complex failures involving MAM, workflows, storage platforms, or AI services.

 

Operational Partnership & Reliability

 

• Partner closely with operations and production support teams to ensure architecture is observable, supportable, and resilient.
• Drive improvements in reliability, automation, workflow monitoring, and incident response across media systems.

 

Technical Mentorship & Influence

 

• Mentor engineers, raising overall engineering maturity through guidance in design, architecture, and system thinking.

 

Basic Qualifications You Bring:

 

• Minimum of 10 years' experience in designing, establishing, and managing large media platforms. Responsibilities include working with MAM/PAM systems and overseeing all stages of media handling: from ingest to production, storage, and retrieval.
• 7+ years architecting cloud and hybrid environments (AWS, GCP, Azure, or OCI) with focus on media workloads, storage tiering, and workflow orchestration.
• 7+ years hands-on software engineering with solid proficiency in Python, modern API development, automation, and CI/CD practices.
• 5+ years of experience in developing systems to organize media. Responsibilities: standardize data, enhance data quality, improve search abilities, and oversee data from start to end.
• Must have 3 years of experience adding AI and ML technologies such as object detection, speech-to-text, and scene/event detection to professional systems for video, audio, and text analysis.
• 3+ years des