Work you'll do/Responsibilities - Design, develop, and maintain production-ready software solutions in an agile environment.
- Build and support cloud applications using AWS services such as EC2, S3, Lambda, API Gateway, and RDS or DynamoDB.
- Develop application components with modern languages and frameworks, including Python, Java, Angular, and Go.
- Implement authentication and security best practices, including OAuth and Okta integrations.
- Build and maintain CI/CD workflows with tools such as GitHub Actions; use AI-assisted development tools and explore platforms such as GitHub Copilot, Claude Code, AWS Bedrock, and Microsoft Copilot Studio.
- Conduct research-focused proofs of concept to assess emerging AI, data engineering, and cloud technologies for effective, ethical enterprise use; evaluate data-processing methods, pipeline performance, data quality, scalability, and cloud monitoring to identify infrastructure improvements.
The TeamJoin our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications Required- 6+ years of experience delivering software solutions in an Agile environment.
- Experience designing, developing, and maintaining applications using AWS services such as EC2, S3, Lambda, API Gateway, RDS, DynamoDB, ECS, Step Functions, IAM, Glue, Athena, or Redshift.
- Programming experience with Python and Java.
- Experience with authentication and security practices, and CI/CD workflows such as GitHub Actions.
- Experience using AI-assisted development tools (e.g., GitHub Copilot or Claude Code), AI development platforms (e.g., AWS Bedrock or Microsoft Copilot Studio), and cloud monitoring practices; conducting research-focused proofs of concept; and evaluating data-processing methods, pipeline performance, data quality, and scalability to identify improvements to data and AI infrastructure.
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.
For individuals assigned and/or hired to work in Texas , Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Texas and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.A reasonable estimate of the current range is $102,800 to $171,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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