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Paramount · 20 hours ago

Principal Solutions Architect

New York, NY

Full-time

Hybrid

Lead/Staff

$150K/yr - $185K/yr

10+ years exp

Paramount is a leading global media and entertainment company on a mission to unleash the power of content. The Principal Solutions Architect will improve large media platforms by designing new systems, enhancing metadata workflows, and upgrading production using AI technology, while guiding teams through technical transformations.

Digital EntertainmentEventsMedia and Entertainment

H1B Sponsor Likely

Responsibilities

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

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

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

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

Qualification

Media Asset Management (MAM)Production Asset Management (PAM)Cloud architecturePythonAIML technologiesVector searchAPI developmentAutomation frameworksWorkflow orchestrationNetworking knowledgeWindows/LinuxTechnical documentationSoft skills

Required

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 designing and deploying systems leveraging vector search, embeddings, or retrieval-augmented generation (RAG) patterns

Preferred

Must be well-versed in commercial media asset management (MAM) and production asset management (PAM) systems, like Avid MediaCentral/Interplay and Mimir. Must be aware with how their data is organized, how to work with their APIs, and be aware of any restrictions they might have

Strong knowledge of media formats, codecs, wrappers, and signals: MXF, MOV, MP4, ProRes, AVC/HEVC, HDR, SDI, SRT, NDI, RTP, etc

Proficient with workflow and transcoding systems such as Telestream Vantage or MediaConvert. Can identify and fix issues and enhance system efficiency

Hands-on experience integrating video understanding, semantic search, and speech recognition platforms (cloud AI, Twelve Labs, or custom ML)

Practical experience building or operating RAG architectures using vector databases, embeddings, and LLMs for search, automation, or knowledge retrieval

Strong automation background (Python, Bash, PowerShell, JSON/YAML) with focus on reducing operational load

Experience with setting up containers (such as Docker) and managing them in actual work environments, along with container orchestration systems (like Kubernetes)

Solid insight of networking, identity, DNS, firewalls, storage systems, hybrid connectivity, and enterprise infrastructure

Working knowledge of Windows/Linux, Active Directory, and SQL databases commonly used in media systems

Experience with supporting remote or virtual production environments, like with Leostream, Teradici, or NICE DCV

Familiarity with disciplined change management in live production using tools like ServiceNow, Jira, Asana

Demonstrated ability to create clear and useful documents. These are for different readers, such as engineers, operators, and top management. Types of documents include architecture diagrams, decision records, API documentation, and runbooks

Benefits

Medical

Dental

Vision

401(k) plan

Life insurance coverage

Disability benefits

Tuition assistance program

PTO

Bonus eligible

Company

Paramount

Glassdoor3.9

Paramount is a leading media and entertainment company that creates premium content and experiences for audiences worldwide. It is a sub-organization of Paramount Pictures.

Founded in 1914

New York, New York, USA

10001+ employees

https://www.paramount.com

H1B Sponsorship

Paramount has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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Trends of Total Sponsorships

2024 (2)