AI Engineer

• Architect and lead end-to-end AI and Generative AI solutions across enterprise applications
• Design solutions leveraging LLMs, RAG, AI agents, embeddings, vector databases, and prompt engineering
• Define enterprise AI architecture standards, patterns, and technology roadmaps
• Evaluate AI use cases and recommend appropriate models, platforms, frameworks, and architecture approaches
• Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms
• Lead architecture reviews, technical design sessions, and AI proof-of-concepts
• Work closely with business stakeholders, engineering teams, and senior leadership to translate business needs into technical solutions
• Establish best practices for AI security, governance, responsible AI, data privacy, scalability, and performance
• Provide technical leadership and mentorship to engineering and AI development teams
• Drive AI solutions from initial concept and POC through production implementation
• Preferred: build enterprise AI copilots, intelligent assistants, and agentic AI solutions
• Preferred: take GenAI solutions from POC to enterprise production environments
• Preferred: drive AI technology strategy and architecture decisions

Senior Solution AI Architect

• Define the architectural vision and solution supporting strategic outcomes for business products and services
• Define the target operating environment, design for client resiliency, assist with solution design, and define non-functional requirements
• Work with stakeholders and service providers aligned to strategic objectives
• Evaluate the impact of strategic design decisions and contribute to the architecture roadmap
• Define enterprise AI architecture strategy, standards, governance models, and decision frameworks
• Establish reusable architecture patterns, reference architectures, templates, and guardrails for responsible AI adoption
• Design and govern enterprise AI agents, multi-agent systems, orchestration models, workflow automation, and human-in-the-loop controls
• Guide AI platform, model, and solution architecture decisions across Microsoft Copilot Studio, Azure AI, Orchestra, and emerging AI capabilities
• Define patterns for RAG, vector databases, semantic retrieval, enterprise knowledge architectures, and AI-ready data access
• Establish standards for model integration, evaluation, observability, lifecycle management, explainability, and trustworthiness
• Define integration architectures across APIs, events, MCP, AI platforms, and agent-to-agent communication frameworks
• Embed security, risk, compliance, identity, access management, data protection, and policy enforcement into AI architecture designs
• Evaluate trade-offs across scalability, resilience, governance, security, performance, and business value
• Lead enterprise AI adoption through stakeholder engagement, visual communication, architect enablement, mentoring, and long-term AI strategy development
• Create solution intent and architectural vision for complex solutions and prioritize functional and non-functional requirements
• Contribute to architecture roadmaps, best practices, and standardized templates
• Facilitate solution-driven discussions, lead complex architecture designs, and develop proof of concepts
• Educate team members on technology practices, standardization strategies, and best practices
• Support technology-stack and product selection
• Perform design and code reviews to ensure non-functional requirements are met

Senior Architect – AI

• Drive development and implementation of AI-infused network use cases and ML solutions
• Provide technical expertise and strategic thinking to advance AI/ML capabilities
• Modernize existing AI applications and build new applications
• Collaborate with Product Management, Data Scientists, and Data Engineers
• Implement, performance-tune, and scale AI/ML applications
• Guide planning, configuration, deployment, and operation of cloud solutions
• Contribute to industrializing data science and AI capabilities across operations
• Lead model development, feature engineering, model validation, deployment, and model observability
• Mentor and guide teams delivering AI/ML solutions
• Participate in internal and external forums promoting innovation and knowledge sharing
• Present AI/ML solution narratives to executives
• Rapidly diagnose issues and build scalable systems using modern developer environments, multi-agent orchestration, and internal model provisioning endpoints
• Prototype agents, diagnose integration hurdles, and deploy fixes using AI-augmented developer tooling
• Build, configure, and audit local agent orchestrators, tool definitions, and developer environments
• Support cloud integrations, service endpoint configurations, and API consumption across GCP and internal hybrid infrastructures
• Investigate, design, test, and implement efficient software solutions

Principal Engineer – AI/ML Engineering

• Develop Agentic AI applications using Python and related programming languages
• Design and implement AI and ML-based solutions for complex business problems
• Own the full delivery lifecycle from development through production rollout
• Collaborate with technical and business teams using agile delivery methods
• Follow application development, data engineering, performance, and security standards
• Work independently with minimal direction and guide or mentor team members when needed
• Research, learn, and apply new tools and techniques
• Recommend ideas to improve performance
• Evaluate application infrastructure and identify modernization and optimization opportunities
• Design and build secure, production-grade GenAI and Agentic AI applications
• Develop reusable, efficient, scalable solutions and recommend cost-effective implementation strategies
• Build AI pipelines and integrate with Databricks and AWS services including S3, EC2, API Gateway, Bedrock, and Lambda
• Work effectively under tight timelines

AI Engineer jobs in New Jersey

Senior Solution AI Architect

Senior Architect – AI

Principal Engineer – AI/ML Engineering

AI Engineer – GenAI, Agentic Systems