Architect generative AI workflows for cloud configuration and remediation using RAG, vector databases, and LLM APIs. Automate Terraform modules, Rego policies, and Regula test cases; develop AI-enabled drift detection, discovery, gap analysis, and remediation capabilities. Lead cloud security tooling AI initiatives, design extensible service architectures, establish technical strategy, and mentor engineers across a distributed global team.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Lead AI Engineer to architect generative AI workflows that accelerate cloud configuration and remediation. Using RAG, vector databases, and LLM APIs, this person automates Terraform modules and Rego policies while guiding the technical direction of AI enablement initiatives. Mentoring engineers across a distributed, follow-the-sun team is part of the role.
WHAT YOU WILL DO
- AI Architecture & Strategy: architect Generative AI workflows (utilizing RAG, vector databases, and LLM APIs) to automate the creation of configuration requirements, Rego policies, and Terraform modules for new cloud services (e.g., AWS S3).
- Cloud Security Automation: oversee the development of AI-enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities
- Policy & Infrastructure as Code (IaC): accelerate the generation and validation of compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines
- Technical Leadership: act as the technical lead for the Cloud Security Tooling team’s AI enablement initiatives, designing service architecture, and driving extensible frameworks.
MUST HAVES
- 6+ years of software engineering experience developing applications and services hosted on public cloud infrastructure.
- 2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC)
- 2+ years of experience developing Agentic models (e.g., OpenAI, Anthropic) using Retrieval-Augmented Generation (RAG) and Vector databases.
- Proven capability of technical leadership in a global organization developing technology strategy and driving technology programs
- Proven capability to lead and mentor engineers in a distributed, asynchronous, follow-the-sun model.
- Upper-intermediate English level.
NICE TO HAVES
- Hands-on experience with modern AI orchestration frameworks (LangChain, LangGraph).
- Hands-on experience writing Rego policies (Open Policy Agent) or Regula test cases
- Hands-on experience with Terraform
- Familiarity with cloud-native security services in Amazon Web Services, Azure, and Google Cloud Platform
- Familiarity with PagerDuty, Atlassian Suite, and ServiceNow
PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location
Similar Jobs
Software
Architect generative AI workflows for cloud configuration and remediation using RAG, vector databases, and LLM APIs. Automate Terraform modules, Rego policies, and Regula test cases; oversee AI-enabled drift detection, discovery, gap analysis, and remediation capabilities. Provide technical leadership for cloud security tooling AI initiatives, design extensible service architectures, shape technology strategy, and mentor engineers across a distributed global team.
Top Skills:
AnthropicAtlassian SuiteAWSAzureCi/CdGenerative AiGoogle Cloud PlatformLangchainLanggraphLlm ApisOpen Policy AgentOpenaiPagerdutyRagRegoRegulaServicenowTerraformVector Databases
42 Seconds Ago
Financial Services
Lead end-to-end delivery of expense-management tooling enhancements across requirements, implementation, testing, training, and post-launch support. Partner with business, operations, technology, product, and risk teams to improve workflows, automation, reporting, controls, and user adoption. Define KPIs and dashboards, manage dependencies and risks, support UAT, and ensure solutions meet governance, compliance, data-quality, and auditability standards.
Top Skills:
Artificial Intelligence (Ai)Business Intelligence (Bi)Kpi DashboardsMachine Learning (Ml)Robotic Process Automation (Rpa)Workflow Automation
Financial Services
Develops and supports secure, scalable Java software within an agile Asset and Wealth Management technology team. Collaborates directly with investment professionals, deploys production updates, reviews and debugs code, and influences application design and technical operations. Uses CI/CD, SRE tooling, messaging technologies, testing frameworks, and AI-assisted development tools. Provides technical guidance, promotes engineering standards, and validates AI-generated code for quality, performance, security, and responsible use.
Top Skills:
Ai-Assisted Software Development ToolsBddCi/CdDynatraceIbm MqIgniteJavaKafkaServicenowSolaceSplunkSpringSQLTdd
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
