Jobs in the United States

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Added 8 mins ago
FE
Data Engineer Advisor
Federal Express Corporation
Plano, TX
- $10,231.53 to $13,812.57 USD / month
The Data Engineer Lead plays a pivotal role within Dataworks, focused on creating and driving engineering innovation within Dataworks, helping define and build the Dataworks organization…
Added 11 mins ago
PR
Senior Platform Engineer
Plymouth Rock Assurance Corporation
Boston, MA
- $135,000 to $192,000 USD / year
We are seeking a Senior Platform Engineer to join our infrastructure team as we evolve our AWS cloud capabilities, application modernization efforts, and internal developer tooling. In this…
Added 12 mins ago
RA
Electrical Engineer
ROI Agency
Remote, United States
- $120,000 to $170,000 USD / year
Professional Engineer (PE) license required or strongly preferred
Added 12 mins ago
RA
Electrical Engineer
ROI Agency
Remote, United States
- $120,000 to $170,000 USD / year
Professional Engineer (PE) license required or strongly preferred
Added 12 mins ago
RA
Electrical Engineer
ROI Agency
Remote, United States
- $120,000 to $170,000 USD / year
Professional Engineer (PE) license required or strongly preferred
Added 13 mins ago
Sr Principal Process Eng - Warehouse
Janssen Biotech, Inc. Legal Entity
Wilson, NC
As part of the Global Process Engineering team, the Sr. Principal Engineer Process Engineer serves as the recognized technical authority and Subject Matter Expert for logistics/warehouse.…
Added 14 mins ago
SR Industrial Controls & Systems Integration Engineer
Cybertrol Engineering
Madison, WI · Maple Grove, MN · Milwaukee, WI · Marshfield, WI
Some examples of specific Industrial Controls & Systems Integration Engineer responsibilities include:
Added 15 mins ago
Ford Racing Vehicle Engineering Lead, Feature & Software Delivery
Ford Motor Company
Allen Park, MI
This role is hybrid and requires at least 4 days per week onsite in Allen Park, MI
Added 16 mins ago
DAT2.X AEB Software Integration Engineer
Ford Motor Company
Dearborn, MI
Lead overall feature model integration with other feature models according to the ADAS ECU software schedule. Support model peer reviews of existing, modified and future feature model.…
Added 16 mins ago
Controls Implementation Engineer - Vehicle Manufacturing Engrg
Ford Motor Company
Dearborn, MI
As part of our Automation and Controls Engineering manufacturing team, you’ll help build the world-class, state-of-the-art smart vehicles the world expects from us. Within our plants around…
Added 16 mins ago
Engineering Technician
INFOSYS NOVA HOLDINGS LLC
Canton, MA
Experience with motors, actuators, sensors, controls, and electromechanical system integration.
Added 16 mins ago
AI Platform Engineer
INFOSYS NOVA HOLDINGS LLC
Irvine, CA
As an AI Platform Engineer, you will design, build, and operate the foundational components of an enterprise AI platform, enabling secure, scalable, and responsible development and…
Added 21 mins ago
Software Engineer
Jerry's Enterprises Inc.
Edina, MN
· Hybrid work schedule, 2 days remote and 3 days in office
Added 21 mins ago
Senior Sales Engineer
Beacon EmbeddedWorks
Eden Prairie, MN
The Senior Sales Engineer is the technical lead in Beacon's presales process. Working alongside Business Development Directors and distribution partners, this role turns a customer's…
Added 23 mins ago
A
Electrical Engineer
Actalent
Bloomfield, CT
- $55 to $60 USD / hour
We are seeking an Electrical Engineer to support sustaining engineering, product development, and lifecycle management activities for complex electromechanical products and control…
Added 23 mins ago
Project Engineer
Actalent
Bloomfield, CT
We are seeking a Project Engineer to lead a strategic product standardization initiative within a complex engineering and manufacturing environment.This role will coordinate…
Added 23 mins ago
A
Controls Engineer
Actalent
Kansas City, MO
- $40 to $45 USD / hour
Job Title: Controls EngineerJob DescriptionThe Controls Engineer designs, programs, and commissions industrial automation control systems from concept through start-up. This role combines…
Added 30 mins ago
Full Stack Engineer
ewminds consulting Services
Clairton, PA
· Experience with API design, microservices, event-driven architectures, data integration, and messaging (e.g., Kafka, MQ)
Added 31 mins ago
Data and Analytics Engineer
DIGITAL MONITORING PRODUCTS
Springfield, MO
…operations, we are looking for a talented Data and Analytics Engineer to join our…
Added 32 mins ago
AI Platform Engineer
Robert Half
Jacksonville, FL
…next-generation AI solutions? We're looking for an AI Platform Engineer to help design, automate, and support a modern Azure-based platform used to deploy and manage AI applications,…
Added 33 mins ago
Lead Network Engineer (Hybrid)
Fortitude Mining, LLC
Dallas, TX
Active CCNA, CCNP, or Fortinet Certified Professional (FCP) in Secure Networking certification required
Added 36 mins ago
Data Test Engineer
CACI
Remote, United States
…logistics, and financial operations through SAP S/4HANA ERP integration. We're looking for an accomplished Data Tester to validate data quality, transformation, migration, interfaces, and…
Added 42 mins ago
Automation Engineering, Sr. Engineer – Pharmaceutical Manufacturing - Lilly Medicine Foundry
Lilly
Lebanon, IN
The Engineer - Automation Engineering will work as a member of the Automation Engineering Department at Eli Lilly, Foundry. The engineer will provide automation support for one or more…
Added 43 mins ago
A
Consultant Construction Program Manager-Partner Led Delivery Projects
ATC
Pewaukee, WI · De Pere, WI · Cottage Grove, WI
- $148,300 to $173,000 USD / year
· Maintain clear accountability boundaries: this role owns program integration and delivery-partner performance, while Engineering and the Owner's Engineer retain technical governance,…
Added 43 mins ago
Physical AI Engineer - Lilly Medicine Foundry
Lilly
Indianapolis, IN
As a Physical AI Engineer, in partnership with other teams you will deploy advanced AI models into robotic, computer vision and sensor-based systems that make the Lilly Medicine Foundry…

INFOSYS NOVA HOLDINGS LLC

AI Platform Engineer

Irvine, CA, United States

Apply on workforcenow.adp.com About employer

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Job details

Posting language: English

Original job description

"We are unable to sponsor or take over sponsorship of an employment visa at this time." AI Platform Engineer As an AI Platform Engineer, you will design, build, and operate the foundational components of an enterprise AI platform, enabling secure, scalable, and responsible development and deployment of advanced AI and agentic solutions. You will work across the full AI platform stack, from data ingestion and vector databases to retrieval systems, orchestration frameworks, agent platforms, and developer-facing APIs, enabling teams to rapidly deliver innovative AI-powered business capabilities. You will collaborate with security, FinOps, platform engineering, data engineering, and application teams to deliver enterprise-grade AI capabilities that are secure, observable, and cost efficient. Your work will span cloud-native AI services, agentic architectures, orchestration frameworks, and responsible AI guardrails. You will play a critical role in designing and implementing solutions based on Model Context Protocol (MCP), enterprise AI Gateway patterns, and modern agent platforms including Amazon Bedrock and AWS AgentCore. You will help establish the enterprise standards for model access, agent execution, governance, observability, and cost optimization while enabling a multi-model AI ecosystem through AI Gateway technologies such as Kong AI Gateway and similar enterprise platforms.

You can build and maintain AI platform services:

Design, build, and operate enterprise AI platform capabilities supporting Generative AI, Retrieval-Augmented Generation (RAG), and agentic workloads.
Develop scalable data ingestion pipelines, knowledge ingestion workflows, and AI data services.
Integrate vector databases, embeddings, knowledge graphs, and enterprise knowledge repositories with appropriate governance controls.
Design and implement retrieval frameworks supporting enterprise search, semantic search, and RAG patterns.
Build and operate AI services using Amazon Bedrock, including foundation model integrations, Bedrock Knowledge Bases, Guardrails, and inference capabilities.
Design and support agentic architectures utilizing AWS AgentCore and other enterprise agent platforms.
Implement model serving infrastructure for real-time and batch inference workloads.
Enable secure agentic workflows through Model Context Protocol (MCP), tool orchestration frameworks, and agent-to-agent communication patterns.
Design and implement AI Gateway capabilities using technologies such as Kong AI Gateway to provide centralized authentication, routing, governance, observability, rate limiting, and policy enforcement for AI workloads.
Develop APIs, SDKs, reusable platform services, and self-service capabilities that accelerate AI adoption across engineering teams.

You ensure observability and responsible AI:

Monitor model performance, application behavior, agent execution, and service reliability.
Implement logging, tracing, alerting, rollback, and operational recovery mechanisms.
Monitor AI usage patterns, token consumption, latency, throughput, and AI Gateway telemetry.
Implement observability solutions that provide visibility into prompts, responses, model behavior, agent interactions, and platform health.
Apply explainability, fairness, governance, and compliance guardrails consistent with Responsible AI principles.
Support model evaluation, benchmarking, experimentation, and lifecycle management processes.

You have experience embedding security and compliance:

Design and implement secure AI platform architectures using cloud-native security controls.
Integrate encryption, IAM, secrets management, and audit logging capabilities.
Implement secure access patterns through AI Gateway platforms including authorization, policy enforcement, prompt security controls, and data protection measures.
Support compliance with regulatory and internal governance frameworks, including privacy, security, and Responsible AI requirements.
Partner with Information Security, Risk, Compliance, and Data Governance teams to ensure safe and compliant use of enterprise data and AI services.
Enable governance for models, agents, prompts, tools, and enterprise knowledge sources.

You drive operational excellence:

Apply Site Reliability Engineering (SRE) practices to ensure reliability, scalability, and operational maturity.
Apply FinOps principles to optimize AI platform utilization, model consumption, and cloud spending.
Automate infrastructure provisioning and management using Infrastructure as Code (IaC).
Establish operational standards, platform runbooks, SLA/SLO metrics, and support procedures.
Drive continuous improvements in platform security, performance, resiliency, and developer experience.

You collaborate and enable teams:

Partner with software engineers, platform engineers, architects, and product teams to deliver enterprise AI solutions.
Consult with application teams on AI platform integration patterns and best practices.
Create reference architectures, reusable patterns, and implementation guidance.
Develop documentation, runbooks, architectural diagrams, and operational standards.
Mentor team members and help promote adoption of enterprise AI platform capabilities. Required Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
7+ years of experience designing, building, and operating distributed platform technologies or cloud-native systems.
3+ years of experience building, operating, or supporting AI/ML platforms and services.
Hands-on experience with Amazon Bedrock and enterprise foundation model platforms.
Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures using vector databases, embeddings, and enterprise knowledge sources.
Experience building or operating agentic AI systems utilizing AWS AgentCore or comparable agent frameworks.
Experience designing and implementing solutions based on Model Context Protocol (MCP).
Experience implementing AI Gateway solutions (e.g., Kong AI Gateway or equivalent) for AI governance, traffic management, observability, and security.
Familiarity with agent orchestration frameworks, agent-to-agent communication patterns, and multi-agent architectures.
Strong understanding of LLM operations including prompt engineering, model evaluation, guardrails, governance, and token optimization.
Proficiency in Python and/or other languages commonly used for AI and platform engineering.
Experience with AWS cloud services, containerization, Kubernetes, and modern CI/CD practices.
Understanding of observability, monitoring, and operational support for AI and agent-based systems.
Experience implementing security, privacy, governance, and compliance controls in AI environments. Preferred Qualifications
Experience in financial services or other highly regulated industries.
AWS certifications related to AI, Machine Learning, Cloud Architecture, or Platform Engineering.
Experience with Amazon Bedrock Knowledge Bases, Bedrock Guardrails, Agents for Bedrock, and AWS AgentCore services.
Experience with Kong AI Gateway or comparable API and AI Gateway technologies.
Experience implementing MCP servers, tool catalogs, and secure tool execution frameworks.
Experience with enterprise multi-model strategies spanning Anthropic Claude, Amazon Nova, OpenAI, Google Gemini, and other foundation models.
Familiarity with AI-specific observability and monitoring platforms.
Experience implementing Responsible AI frameworks, guardrails, explainability, and model governance processes.
Experience with FinOps practices and cost optimization for Generative AI workloads.
Familiarity with Agile, DevSecOps, and platform engineering practices.
Experience building enterprise self-service AI platforms and developer enablement capabilities.

Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

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Jobs in the United States