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Senior Ai Image Jobs (NOW HIRING)

Senior AI/ML engineer

Richardson, TX · On-site

$111K - $146K/yr

We are seeking a highly skilled Senior AI/ML Developer to join our Agentic AI Platform Team. In ... Design and develop multimodal AI capabilities, including vision-enabled image analysis and document ...

Senior AI Platform Engineer

San Jose, CA · On-site

$122K - $168K/yr

... senior engineers in modern AI system design, LLM orchestration patterns, and agent platform ... systems (text, image, video, motion). • Familiarity with tool-augmented LLM systems, RAG ...

Mentor senior engineers in modern AI system design, LLM orchestration patterns, and agent platform ... Experience working with multimodal generative systems (text, image, video, motion). * Familiarity ...

$100 - $120/hr

## Sr. AI Video Technical ArtistApplylocations: Manhattan Beach, CAtime type: Full timeposted on ... Execute AI video production: design, run, and refine workflows (image-to-video, motion, enhancement ...

Senior AI/ML Scientist

Princeton, NJ · On-site

$134K - $184K/yr

... Senior AI Scientist, you will work on real-world medical imaging challenges, developing and ... Experience in medical imaging, computational imaging, or image processing * Familiarity with ...

... image processing, computer vision, data science & analytics, distributed systems, cloud, edge ... Dolby is looking for a talented Senior AI Researcher to join Dolby's research efforts to develop ...

Senior AI Platform Engineer

San Jose, CA · On-site

$122K - $168K/yr

Mentor senior engineers in modern AI system design, LLM orchestration patterns, and agent platform ... Experience working with multimodal generative systems (text, image, video, motion). * Familiarity ...

Senior AI Platform Engineer

San Jose, CA · On-site

$122K - $168K/yr

Mentor senior engineers in modern AI system design, LLM orchestration patterns, and agent platform ... Experience working with multimodal generative systems (text, image, video, motion). * Familiarity ...

Senior AI Platform Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Mentor senior engineers in modern AI system design, LLM orchestration patterns, and agent platform ... Experience working with multimodal generative systems (text, image, video, motion). * Familiarity ...

Senior AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Senior individual contributor on the Developer Experience (DevX) platform team, responsible for ... Hands-on with container base image pipelines, dev container standards, or starter app template ...

Senior AI Software Engineer

Chicago, IL

$126K - $166K/yr

Senior individual contributor on the Developer Experience (DevX) platform team, responsible for ... Hands-on with container base image pipelines, dev container standards, or starter app template ...

Sr AI Application Developer

Concord, NC

$89K - $122K/yr

Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization. * Integrate AI solutions with existing enterprise systems such as ...

... image processing, computer vision, data science & analytics, distributed systems, cloud, edge ... We are seeking a talented Senior Multimodal AI Researcher to join the Multimodal Experiences Lab ...

Ruder Finn is looking for a Senior AI Video Producer to help create high-quality AI-generated and ... Stay current on emerging AI video, image, voice, audio, editing, and production tools * Recommend ...

Showing results 41-60

Senior Ai Image information

See salary details

$25K

$80.3K

$163.5K

How much do senior ai image jobs pay per year?

As of Aug 23, 2026, the average yearly pay for senior ai image in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Ai Image vs Ai Image Specialist?

AspectSenior Ai ImageAi Image Specialist
Required CredentialsBachelor's or higher in Computer Science, AI, or related fields; experience in AI and image processingSimilar credentials, often with less experience required
Work EnvironmentResearch labs, tech companies, creative agenciesDesign studios, media companies, AI startups
Employer & Industry UsageTech firms, AI development companies, digital media

Senior Ai Image roles typically require more experience and leadership responsibilities, focusing on advanced AI image generation and project management. Ai Image Specialists usually focus on executing specific tasks within AI image creation, with less emphasis on leadership. Both roles share similar educational backgrounds and work environments, but senior positions demand greater expertise and strategic input.

More about Senior Ai Image jobs

What cities are hiring for Senior Ai Image jobs?

Cities with the most Senior Ai Image job openings:

What are the most commonly searched types of Ai Image jobs?

The most popular types of Ai Image jobs are:

What states have the most Senior Ai Image jobs?

States with the most job openings for Senior Ai Image jobs include:

Infographic showing various Senior Ai Image job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior AI/ML engineer

Prodapt

Richardson, TX • On-site

$111K - $146K/yr

Full-time

Re-posted 4 days ago


Job description

Overview
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A "Great Place To Work® Certified™" company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
We are seeking a highly skilled Senior AI/ML Developer to join our Agentic AI Platform Team. In this role, you will design, develop, and deploy production-grade AI agents and intelligent automation solutions powered by Large Language Models (LLMs). You will work closely with platform architects and engineering teams to build scalable multi-agent systems that directly support field technicians and enterprise operations.
The ideal candidate combines deep expertise in Generative AI, Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and cloud-native software engineering with strong Python development skills and a passion for building enterprise-scale AI solutions.
Responsibilities
  • Agentic AI & Multi-Agent Systems
    • Design and develop autonomous, goal-oriented AI agents using frameworks such as LangGraph, LangChain, MCP, and internal frameworks (PyVegas, VEGAS, DPF).
    • Build and enhance multi-agent orchestration pipelines with advanced state management, conditional routing, task delegation, and fault-tolerant error recovery mechanisms.
    • Implement tool-calling agents that support parallel execution, sequential enrichment workflows, and intelligent summarization.
    • Design and develop multimodal AI capabilities, including vision-enabled image analysis and document processing.

    Generative AI & LLM Engineering
    • Develop, fine-tune, and optimize Large Language Models (LLMs) and Small Language Models (SLMs) for domain-specific business use cases.
    • Design advanced prompt engineering frameworks, dynamic prompt management solutions, and token optimization strategies to improve performance, scalability, and cost efficiency.
    • Integrate with Azure OpenAI and other foundation model platforms utilizing resilient patterns such as circuit breakers, retries, fallback chains, and observability controls.
    • Build real-time conversational AI experiences using streaming technologies such as WebSockets and Server-Sent Events (SSE).

    Retrieval-Augmented Generation (RAG) & Knowledge Systems
    • Design and optimize vector embedding pipelines, intelligent document chunking strategies, semantic search, and hybrid retrieval architectures.
    • Develop advanced RAG solutions leveraging vector databases, hybrid search (semantic and keyword-based retrieval), re-ranking techniques, and Reciprocal Rank Fusion (RRF).
    • Implement Knowledge Graph-based solutions to improve contextual understanding, reasoning, and AI-driven decision-making.

    Software Engineering & Platform Development
    • Develop scalable, secure, and production-ready Python applications using modern AI/ML frameworks and engineering best practices.
    • Build APIs, microservices, and distributed systems that support enterprise AI workloads.
    • Implement robust logging, monitoring, observability, error handling, testing, and performance optimization strategies.
    • Design and maintain CI/CD pipelines for AI model deployment, versioning, and lifecycle management across development, staging, and production environments.
    • Support production deployments by troubleshooting issues, monitoring model performance, and ensuring operational stability.

    Collaboration & Leadership
    • Partner with business stakeholders, architects, and engineering leaders to translate business requirements into scalable AI solutions.
    • Provide technical guidance on model selection, AI architecture, data dependencies, and implementation approaches.
    • Participate actively in Agile ceremonies including sprint planning, backlog refinement, stand-ups, retrospectives, and solution demos.
    • Contribute to architecture reviews, technical design discussions, code reviews, and engineering best practices.

Requirements
  • Must-Have Qualifications
    • Education: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
    • Core Experience: 12+ years of software development experience with strong expertise in Python and enterprise application development.
    • AI Specialization: 2+ years of hands-on experience building Generative AI, Agentic AI, or LLM-based applications in production environments.
    • Required telecom domain experience with strong knowledge of telecommunications systems, OSS/BSS platforms, network operations, customer experience platforms, and telecom data ecosystems, including experience applying AI/ML solutions in telecom environments.

    Agentic AI & Generative AI Expertise
    • Extensive experience with Agentic AI frameworks such as LangGraph, LangChain, MCP, or equivalent enterprise agent orchestration platforms.
    • Strong understanding of autonomous agents, multi-agent systems, tool calling, workflow orchestration, memory management, and reasoning frameworks.
    • Expertise in Generative AI technologies including: LLMs, SLMs, Prompt Engineering, Fine-Tuning, Function Calling, Structured Outputs, and Model Evaluation.

    RAG & Knowledge Systems
    • Proven experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
    • Strong expertise in vector embeddings, vector databases, semantic search, hybrid retrieval architectures, re-ranking / ranking optimization, and document intelligence.
    • Experience with Knowledge Graphs and graph-based reasoning frameworks.

    Software Development & Cloud Technologies
    • Advanced Python programming skills with experience in FastAPI, AsyncIO, HTTPX, SQLAlchemy, and Alembic.
    • Hands-on experience with OpenAI APIs, tool-calling frameworks, streaming APIs, and real-time AI applications.
    • Solid background in PostgreSQL, relational databases, distributed systems, and microservices architecture.
    • Experience with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and Scikit-learn.
    • Hands-on experience with AWS (e.g., Bedrock, SageMaker, Lambda, ECS/EKS, S3).

    DevOps & Deployment
    • Experience with multi cloud platforms - familiarity with AWS, Azure and GCP.
    • Strong understanding of CI/CD pipelines, Docker, Kubernetes, model deployment / version control, automated testing / validation, and observability / monitoring solutions.

    Leadership & Collaboration
    • Strong system design and architecture skills.
    • Ability to mentor developers and influence technical direction.
    • Experience collaborating with cross-functional teams, architects, and business stakeholders.
    • Strong communication, problem-solving, and Agile delivery experience.

    Preferred Qualifications
    • Experience in telecommunications and large-scale enterprise platforms.
    • Experience building production multi-agent platforms and AI copilots.
    • Knowledge of model evaluation frameworks, guardrails, AI governance, and responsible AI practices.
    • Experience with Azure AI Foundry, Azure OpenAI, and enterprise-scale AI deployments.