Cyberark Senior Consultant

Deloitte is seeking a Senior Consultant for their Cyber Engineering team to build and deploy AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on cloud platforms. The role involves full-stack development, API integration, database management, and working within Agile environments. Experience with GenAI/LLM platforms like Anthropic, Google, or OpenAI is preferred.

What you'd actually do

  1. Working closely with business, solution engineers, team members and leadership to understand business requirements and deliver high quality technical solutions
  2. Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality
  3. Identifying key drivers of a problem and proposes technical solutions using analysis, experience, and decision making
  4. Developing solutions to client problems through application of methods and tools; validating solutions to SMEs
  5. Understanding the benefits of using state of the art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools
  6. Demonstrating accountability and contributions to the successful realization of client goals

Skills

Required

  • 3–5 years of experience
  • Hands-on experience in full stack software development across frontend and backend technologies
  • Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on AWS, Azure, or GCP
  • Experience with object-oriented programming using languages such as Java, Python, or JavaScript/TypeScript
  • Experience with frontend development using Angular, React, or Next.js, and with JavaScript, TypeScript, HTML5, and CSS3 in production environments
  • Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot)
  • Experience building and consuming REST APIs and microservices
  • Experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and with at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB
  • Experience using Git and development lifecycle tools such as Azure DevOps
  • Experience with unit testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD pipeline implementation
  • Experience deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP
  • Experience working in Agile/Scrum delivery environments
  • Cloud certification in AWS, Azure, or GCP
  • Bachelor’s degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field
  • Ability to travel up to 20% on average
  • Limited immigration sponsorship may be available

Nice to have

  • Experience with Docker, container-based application development, and serverless architectures
  • Experience with secure development practices or cybersecurity-focused application development
  • Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • Experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool u

What the JD emphasized

  • AI, Generative AI, or Agentic AI solutions and architectures
  • GenAI/LLM-powered solutions
  • Frontier GenAI Platforms

Other signals

  • AI, Generative AI, or Agentic AI solutions and architectures
  • GenAI/LLM-powered solutions
  • Frontier GenAI Platforms