Lead the 0-to-1 product strategy, ecosystem integrations, and secure deployment architecture of F5’s next-generation AI security portfolio.
Compensation
The annual base pay for this position is: $248,600.00 - $373,000.00
Responsibilities
Lead technical product partnerships with major foundation model providers to co-develop secure-by-design API standards, secure context passing, and zero-trust data boundaries.
Drive alignment on emerging security frameworks, ensuring our runtime guardrails, prompt shields, and firewall systems are natively integrated or optimized for top-tier frontier models.
Define technical requirements and prototype for advanced AI features integrating with AI Gateway and Model Context Protocol (MCP) Gateway, securing the data-plane between agents, client applications, and external LLM tools.
Act as the primary technical point of contact for elite Design Partner enterprise customers during their early-stage, high-complexity rollouts.
Collaborate daily with Forward Deployed Engineers to architect, install, and troubleshoot complex production-grade AI applications.
Senior Software Engineer on the Data Engineering team, responsible for designing, developing, and maintaining data pipelines and the Enterprise Data Warehouse using Databricks, PySpark, and SQL.
Responsibilities
Design and develop data processing and storage workflows
Collaborate with other engineers to integrate datasets
Build and enhance the Enterprise Data Warehouse using Kimball Methodologies and medallion architecture
Provide production support with occasional after-hours availability
Partner with stakeholders on strategic projects leveraging the Data Lake
Requirements
Bachelor’s degree, preferably in Computer Science or equivalent professional experience
Design, develop, deploy, and continuously optimize AI agents on the Agentforce platform, enhancing Salesforce solutions for a leading US-based streaming platform.
Responsibilities
Design, develop, deploy, and continuously optimize AI agents on the Agentforce platform
Drive the evolution of Salesforce solutions by enhancing Sales Cloud, Service Cloud, and AI-powered capabilities
Build and maintain scalable Salesforce applications using Apex, Lightning Web Components (LWC), Flows, and Data Cloud (Data 360)
Develop and support integrations with external systems using APIs, middleware, REST, SOAP, event-driven, and MCP-based approaches
Contribute to solution architecture, technical strategy, platform innovation, and the adoption of engineering best practices
Drive the architecture, design, development, and delivery of enterprise-scale Generative AI and Agentic AI solutions.
Responsibilities
Assess business processes, existing applications, and enterprise data landscapes to identify opportunities for Generative AI and Agentic AI adoption.
Design and own end-to-end architecture for enterprise AI solutions, including LLM selection, agent frameworks, RAG pipelines, integrations, and orchestration.
Architect and implement Agentic AI solutions using LangGraph, MCP, and other modern AI frameworks.
Lead hands-on development and implementation of AI applications using Python and relevant AI technologies.
Design data ingestion, processing, retrieval, and vector database solutions to support enterprise AI applications.
AI Data Engineer focused on AWS, Python and Agentic AI
Responsibilities
Designing and building MCP servers, tools, and integrations
Creating reusable Kiro steering rules, specifications, development patterns, and engineering standards
Building agentic workflows and tool orchestration, particularly where AI agents interact with AWS services, data platforms, APIs, and enterprise systems
Applying AI-assisted engineering throughout the SDLC, from requirements/specification → code generation → review/testing → deployment and operational support
Requirements
Nice to have: Kiro
Nice to have: Claude Code
Nice to have: MCP
Nice to have: AWS certification (Data Engineer, Developer, or Solutions Architect)
Looking for future software engineering superstars to help take automation and CI framework to the next level with AI. The intern will work with modern AI tools, build AI layers on top of existing Python-based automation, and use AI agents and modern tooling.
Responsibilities
Work with modern AI tools throughout the development process
Work hands-on with existing Python-based automation
Build an AI layer on top of existing automation
Enable automation and test data to be discovered, analysed and acted upon through AI agents and modern tooling such as the Model Context Protocol (MCP)
Lead the design, development, and deployment of Agentic AI technologies across Carrier Engineering.
Locations (2)
Indianapolis, Indiana, United States
Kennesaw, Georgia, United States
Compensation
The annual salary for this position is between $96,000.00 - $192,000.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate. The pay range will not be below the minimum wage applicable to the jurisdiction in which the applicant is to be employed.
Responsibilities
Lead the design, development, and deployment of AI agents and agentic workflows that accelerate engineering processes and productivity.
Define and execute the Agentic AI strategy, roadmap, standards, and best practices across Carrier Engineering.
Architect AI-powered solutions using Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and workflow orchestration frameworks.
Collaborate with software, systems, electrical, mechanical, and test engineering teams to identify and deliver high-value AI solutions.
Senior Salesforce EngineerNewAvenga · Ukraine
Software Developer Summer Intern: IMS GW (AI & Automation)NewEricsson · Jorvas, Finland