521 IT & Software Developer jobs in the US
Peachtree Street NE, Suite 1900, Promenade II 1230, Atlanta
$113,100 - 208,300
Requirements
Must:
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- Over 4 years of experience in delivering AI/ML solutions, including at least 1 year focused on Generative AI, Agentic AI, or multi-agent systems.
- More than 2 years of hands-on experience in building AI/ML solutions using Python.
- At least 3 months of experience in developing agentic AI systems, incorporating agent orchestration, tool integration, and autonomous decision-making workflows.
- Familiarity with platforms such as Azure, AWS, and GCP, specifically with their AI and machine learning services.
- A minimum of 1 year of experience leading project workstreams, translating business issues into AI solutions, and achieving measurable outcomes.
- A Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI, or a related field.
- Willingness to travel up to 50% on average.
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Responsibilities
- Architect and implement end-to-end agent-based systems that integrate large language models (LLMs), multi-agent orchestration, enterprise data pipelines, and business applications, ensuring reliability, scalability, and performance.
- Engineer core solution components, including data integration layers, retrieval services, agent orchestration logic, and safety mechanisms.
- Transform the Convergence Architecture by integrating data, knowledge, models, guardrails, infrastructure, and functional workflows into cohesive solutions for enterprises.
- Design and build enterprise-grade systems that include observability, monitoring, cost management, and lifecycle tools for sustainable AI solutions.
- Balance architecture with execution, providing direction while managing critical elements defined by scalability and robustness.
- Continuously assess and integrate emerging technologies and frameworks for planning and multi-agent collaboration, establishing best practices for reusable architectures.
- Collaborate with cross-functional stakeholders to turn complex business challenges into impactful, AI-driven solutions.
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Description
We are committed to building a dynamic AI & Engineering team that transforms technology platforms, drives innovation, and contributes significantly to our clients success. You will join talented professionals focused on reimagining operations and business processes. Your efforts will empower clients to enhance their financial performance and embrace innovative digital ventures. Within our AI & Data practice, we deliver advanced solutions to design, develop, and operate powerful Data and AI platforms. We assist clients in managing their data, AI, and analytics capabilities, enabling them to scale effectively. We value diverse backgrounds and skills and believe in fostering a culture of collaboration and growth. Join us in making a lasting impact!
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 521 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
Surpass Solutions Inc, Studio Trois Γtoiles Design, Skycope C-UAS Technologies Inc, Giesecke+Devrient, Western Telematic, Inc, Los Angeles Network for Enhanced Services, AIR Technology Services among others, are currently hiring for Data roles in the United States.
The company with most openings is Leidos as they are hiring for 93 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Leidos as they are hiring for 93 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.