Senior Applied AI Engineer

Paramount+; New York (NY); On-site; USD 139,000 - 180,000; Full time

Benefits offered by this job

Medical benefits

Dental coverage

401(k) plan

Tuition assistance

Generous paid time off

Job summary

Paramount+ is seeking a Senior Applied AI Engineer in New York to design and implement AI solutions that improve software quality. The role requires extensive experience in AI and machine learning, specifically with tools such as Java, Python, and Google Cloud Vertex AI. Responsibilities include developing systems for automation, mentoring engineers, and collaborating with cross-functional teams. The position offers a salary range of $139,000 to $180,000 with comprehensive benefits including medical, dental, and 401(k).

Qualifications

• 7+ years in machine learning engineering, software engineering, or applied AI.
• Strong expertise in Java, Python, PyTorch/TensorFlow, and modern LLM tooling.
• Production experience with Google Cloud Vertex AI.

Responsibilities

• Architect, develop, and deploy end-to-end AI/ML systems.
• Integrate AI into CI/CD pipelines for dynamic risk-based testing.
• Leverage Google Cloud Vertex AI to build scalable AI systems.

Skills

Machine Learning Engineering

Software Engineering

Java

Python

PyTorch

TensorFlow

RAG Systems

MLOps

Cloud Platforms

Tools

Selenium

Appium

Playwright

pytest

JUnit

TestNG

MLflow

Kubeflow

SageMaker

Databricks

Job description

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.

Overview

Paramount Skydance Corp. is seeking a Senior Applied AI Engineer to architect, build, and operationalize AI-driven solutions that transform how we deliver software quality across the enterprise. This role blends advanced machine learning, large language models, and software engineering expertise to improve automation efficiency, accelerate feedback loops, enhance defect detection, and deliver predictive quality insights. You will be a key member of the Global Quality Engineering (GQE) team and partner with DevOps, SRE, and Infosec teams to embed AI capabilities directly into the SDLC, leveraging modern platforms such as Vertex AI to deliver scalable, resilient, and impactful AI solutions for Quality Engineering initiatives.

Key Responsibilities

• AI/ML Solution Development
  • Architect, develop, and deploy end-to-end AI/ML systems addressing key QE workflows (bug prediction, app confidence scoring, flaky test detection, intelligent test prioritization, anomaly detection).
  • Build, optimize, and tune RAG pipelines, including embedding and vector store selection, chunking and retrieval optimization, hallucination mitigation and grounding techniques, hybrid LLM architectures.
  • Perform LLM fine-tuning (full-model, LoRA/QLoRA, instruction tuning) and determine when fine-tuning is appropriate vs. RAG-only or hybrid approaches.
  • Build LLM tools for test case generation, synthetic test data creation, log and telemetry summarization, automated triage and quality insights.
  • Develop model evaluation frameworks ensuring accuracy, robustness, and safe behavior over time.
• Global Quality Engineering Innovation
  • Identify and prioritize opportunities to integrate AI automation across test strategy, execution, triage, and release decisioning.
  • Integrate AI into CI/CD pipelines for dynamic risk-based testing, anomaly detection, and intelligent quality gates.
  • Build solutions that analyze logs, traces, telemetry, and user signals to detect emerging quality risks.
• Cloud & Platform Engineering (Vertex AI)
  • Leverage Google Cloud Vertex AI to build scalable, production-grade AI systems, including Model Garden, Vertex AI Training, Tuning (LoRA/QLoRA), and Custom Jobs, Vertex AI Vector Search, Vertex AI Pipelines, Vertex AI Online Endpoints.
  • Integrate Vertex AI with GCP services (BigQuery, Cloud Run, GKE, Pub/Sub) for full production deployment.
• Technical Leadership
  • Lead architectural decisions on LLM system design, MLOps, data pipelines, monitoring strategies.
  • Mentor engineers on applied ML, modern AI development, prompt engineering, and RAG vs. fine-tuning tradeoffs.
  • Partner in creation of engineering standards for model governance, safety, code quality, and scalable AI development.
• Cross-Functional Collaboration
  • Collaborate with peers in GQE, DevOps, SRE, Infosec, and Data Engineering to translate quality challenges into high-value AI solutions.
  • Communicate complex concepts to executives, engineers, and non-technical stakeholders.

Required Qualifications

• 7+ years in machine learning engineering, software engineering, or applied AI.
• Strong expertise in Java, Python, PyTorch/TensorFlow, and modern LLM tooling.
• Deep hands‑on experience with RAG systems, including embedding and vector database design, retrieval optimization, hybrid architectures, hallucination reduction, and grounding strategies.
• Strong hands‑on experience with LLM fine‑tuning: full-model, parameter‑efficient approaches (LoRA/QLoRA), instruction tuning, dataset curation, cost, latency, and behavior tradeoff analysis; ability to choose RAG vs. fine‑tuning vs. hybrid approaches.
• Production experience with Google Cloud Vertex AI: training, tuning, pipelines, Vector Search, and real‑time model deployment.
• Solid understanding of quality engineering tools, automation frameworks (Selenium, Appium, Playwright, pytest, JUnit, TestNG), and CI/CD systems.
• Experience with MLOps platforms (MLflow, Kubeflow, SageMaker, Databricks) and cloud platforms (Azure, AWS, GCP).

Preferred Qualifications

• Experience building AI systems specifically for engineering productivity or quality engineering.
• Familiarity with observability tools (Grafana, Prometheus, OpenTelemetry), synthetic data generation, and code analysis tools.
• Experience mentoring engineers or leading cross‑functional AI projects.

Key Competencies

• Architectural judgment – mastery of when to apply RAG, fine‑tuning, hybrid retrieval models, or classical ML.
• Innovation mindset – constantly identifying opportunities to improve velocity, quality, and automation with AI.
• Systems thinking – ability to model complex SDLC and QE workflows.
• Strong communication – ability to drive consensus among stakeholders.
• Ownership – ability to drive initiatives end‑to‑end with autonomy.

Success Metrics

• Reduction in escaped defects and increased early bug detection.
• Significant reduction in flaky tests and triage time.
• Faster release cycles through intelligent, AI‑driven testing strategies.
• Improved developer and tester productivity via AI‑powered tooling.
• Successful deployment and adoption of enterprise‑grade AI systems across the org.

Additional Information

Hiring Salary Range: $139,000.00 - 180,000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay depends on job‑related factors including location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO, and the position is bonus eligible.

What We Offer:

• Attractive compensation and comprehensive benefits packages.
• Generous paid time off.
• An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
• 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.
• Explore life at Paramount at https://www.paramount.com/careers/life-at-paramount

Paramount, an equal opportunity employer (EOE) including disability/vet.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to [e-mail]. Only messages left for this purpose will be returned.