Senior AI & Apigee Developer Austin, TX $120K - $130K PA Senior AI & Apigee Developer to help define and build the next generation of our API Platform, Developer Portal, and AI-powered onboarding ...
Senior AI & Apigee Developer Austin, TX $120K - $130K PA Senior AI & Apigee Developer to help define and build the next generation of our API Platform, Developer Portal, and AI-powered onboarding ...
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Mphasis information
See Leander, TX salary details
$29.6K - $35.8K
16% of jobs
$38.2K is the 25th percentile. Wages below this are outliers.
$35.8K - $42K
23% of jobs
The median wage is $44.1K / yr.
$42K - $48.1K
31% of jobs
$50.6K is the 75th percentile. Wages above this are outliers.
$48.1K - $54.3K
12% of jobs
$54.3K - $60.5K
4% of jobs
$60.5K - $66.6K
5% of jobs
$66.6K - $72.8K
4% of jobs
$72.8K - $79K
3% of jobs
$79K - $85.1K
1% of jobs
$85.1K - $91.3K
0% of jobs
$91.3K - $97.5K
0% of jobs
$29.6K
$53.8K
$97.5K
How much do mphasis jobs pay per year?
What is Mphasis?
What skills and qualifications are needed to thrive at Mphasis?
What opportunities for career growth and skill development does Mphasis offer?
What is the difference between Mphasis vs Software Developer?
| Criteria | Mphasis | Software Developer |
|---|---|---|
| Required Credentials | Bachelor's in CS or related field, certifications like AWS, Azure | Bachelor's in CS or related field, certifications optional |
| Work Environment | IT services, client projects, consulting | Software development, coding, testing |
| Employer & Industry Usage | IT services companies, consulting firms | Tech companies, startups, software firms |
| Common Search & Comparison | Yes | Yes |
While Mphasis is a global IT services provider offering consulting and client solutions, a Software Developer focuses on coding and creating software applications. Mphasis roles often involve client interaction and project management, whereas Software Developers primarily work on programming tasks. Both roles require technical skills, but Mphasis positions may demand broader industry knowledge and certifications.
What job categories do people searching Mphasis jobs in Leander, TX look for?
The top searched job categories for Mphasis jobs in Leander, TX are:
What cities near Leander, TX are hiring for Mphasis jobs?
Cities near Leander, TX with the most Mphasis job openings:

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Job description
Senior AI & Apigee Developer
Austin, TX
$120K - $130K PA
Senior AI & Apigee Developer to help define and build the next generation of our API Platform, Developer Portal, and AI-powered onboarding capabilities. This role will focus on Google Apigee, API platform modernization, MCP integrations, Apigee Monetization, Agentic AI solutions, and AI-driven automation that improves developer productivity and onboarding experience.
Ideal Candidate
The ideal candidate is a hands-on engineer with strong expertise in API platforms, cloud technologies, AI-enabled development, and enterprise automation.
A senior, hands-on engineer with expertise in Apigee, MCP, AI agents, Agentic AI, LLMs, RAG, AI-DLC, Terraform, GitHub Actions, and Developer Portal technologies, capable of driving API platform modernization and delivering AI-powered solutions that improve onboarding, automation, and developer productivity across the enterprise.
Years of experience needed 12+ years
Key Responsibilities
- Design, develop, and support API platform capabilities using Google Apigee.
- Implement and manage Apigee Monetization capabilities.
- Build and integrate MCP (Model Context Protocol) servers to enable AI-powered interactions with enterprise APIs and services.
- Design and implement Agentic AI solutions for API onboarding, support, documentation, and operational automation.
- Define and develop AI-powered onboarding capabilities that reduce manual effort and improve developer experience.
- Enhance and scale the internal Developer Portal and related SPA applications.
- Build reusable frameworks, templates, and self-service capabilities for API consumers.
- Develop CI/CD pipelines and Infrastructure as Code (IaC) solutions for platform automation.
- Partner with Architecture, Platform, Security, and Application teams to deliver secure, scalable, and resilient solutions.
- Drive adoption of AI-enabled engineering practices and AI-Driven Development Lifecycle (AI-DLC) capabilities.
Required Skills
- 6+ years of hands-on Google Apigee experience.
- Strong experience with API Proxy Development, Shared Flows, API Products, Developer Apps, Target Servers, and KVMs.
- Experience implementing OAuth 2.0, OIDC, JWT, mTLS, API Key management, and certificate-based authentication.
- Strong software development experience using Java, Python, JavaScript
- Experience developing REST APIs, microservices, and enterprise integrations.
- Experience designing and implementing AI-powered engineering solutions.
- Experience building Agentic AI workflows and automation solutions.
- Experience with MCP (Model Context Protocol) architecture and integrations.
- Experience working with LLMs and enterprise AI solutions.
- Experience with Prompt Engineering and AI-assisted development tools.
- Experience designing or implementing RAG (Retrieval-Augmented Generation) solutions.
- Experience developing AI agents, multi-agent systems, or intelligent orchestration workflows.
- Experience creating agent skills, training workflows, and AI enablement capabilities.
- Experience building CI/CD pipelines using GitHub Actions, Jenkins, Azure DevOps, or similar platforms.
- Experience with Terraform and Infrastructure as Code (IaC).
- Experience with Google Cloud Platform (Google Cloud Platform) and container technologies.
- Experience with monitoring, observability, dashboarding, and ing solutions.
Preferred Skills
- Experience implementing Apigee Monetization solutions.
- Experience leading AI-Driven Development Lifecycle (AI-DLC) initiatives.
- Experience integrating GitHub Copilot or other AI coding assistants into engineering workflows.
- Experience with Vertex AI, Gemini, Azure OpenAI, LangChain, CrewAI, AutoGen, or similar AI frameworks.
- Experience building enterprise MCP servers and AI gateways.
- Experience designing multi-agent architecture and orchestration frameworks.
- Experience developing AI-powered onboarding agents and intelligent self-service platforms.
- Experience with React, Angular, or modern SPA frameworks.
- Experience supporting large-scale API onboarding and modernization initiatives.
- Experience with Kubernetes, Docker, and cloud-native architectures.
- Experience working in highly regulated enterprise environments such as Financial Services.