Lead Enterprise Solution Analyst

About the Role

Paramount Tech is hiring a Lead Enterprise Solution Analyst to architect and oversee the enterprise AI orchestration framework, integrating automation, RPA, and multi-agent systems across the company’s technology ecosystem. This role blends strategic architecture, infrastructure leadership, and hands-on engineering to ensure secure, scalable, and high-performance AI deployments.

Responsibilities

• Designing and implementing the AI orchestration layer that connects automation engines, AI agents, and enterprise applications.
• Building infrastructure pipelines to support AI/ML deployment and Azure web application services across cloud environments.
• Defining and enforcing standards for MLOps, APIs, observability, and compliance to support enterprise-scale operations.
• Partnering with product, data, and engineering teams to translate strategic business needs into reusable AI platform components.
• Ensuring adherence to internal AI guardrails, SLAs, and security/compliance standards.

Requirements

• 8+ years of experience in infrastructure architecture, AI platforms, or enterprise systems integration, including hands-on development using Python and API-based services.
• Strong expertise in Azure cloud services with proven experience building and operating CI/CD pipelines, Git-based version control, and cloud-native deployments (App Services, Functions, containers).
• Demonstrated technical lead experience, including leading or coordinating offshore or globally distributed engineering teams, establishing engineering standards, and delivering enterprise scale AI, automation, or orchestration solutions.

Qualifications

• Experience designing or implementing AI orchestration frameworks, including multi-agent systems, workflow coordination, or retrieval-augmented generation (RAG) patterns.
• Familiarity with enterprise automation platforms such as Automation Anywhere, UiPath, or equivalent RPA tools.
• Experience building and deploying API-driven services using frameworks such as FastAPI, with configuration-driven logic using YAML / JSON.
• Working knowledge of containerization (Docker) and cloud-native deployment strategies across multiple environments.
• Experience implementing observability, logging, telemetry, and monitoring for distributed AI and automation platforms.
• Solid understanding of MLOps practices, including model lifecycle management, versioning, and governance.
• Proven ability to collaborate with product, data, security, and platform teams to deliver reusable, enterprise-scale AI capabilities.
• Excellent technical documentation and architectural communication skills for executive and engineering audiences.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline, or equivalent experience.

Pay

Hiring Salary Range: $124,000.00 - $186,000.00. The hiring salary range for this position applies to New York City, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. This position is bonus eligible.

Benefits

• Medical, dental, and vision coverage.
• 401(k) plan.
• Life insurance coverage.
• Disability benefits.
• Tuition assistance program.
• PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement.
• Generous paid time off.
• Opportunities for both on-site and virtual engagement events.
• Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.

Check out our full list of benefits here.

Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount.