GenAI & Agentic AI Engineer - Enterprise AI Platforms - AIRLHV

NavitasPartners

Allentown, PA • On-site, Remote

Full-time

Posted 6 hours ago


Job description

GenAI & Agentic AI Engineer – Enterprise AI Platforms

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are seeking a GenAI & Agentic AI Engineer to design and deliver next-generation AI solutions leveraging LLMs and autonomous agents across enterprise platforms.

Key Responsibilities:

  • Design and develop GenAI and agent-based AI solutions
  • Build scalable AI systems integrated with enterprise data platforms
  • Collaborate with data engineers, architects, and business teams
  • Ensure performance, governance, and reliability of AI systems

Required Skills:

  • Strong experience in AI/ML and GenAI development
  • Cloud exposure (AWS, Azure, GCP)
  • Hands-on experience with LLMs and AI frameworks

Nice to Have / Coverage:

  • ML/AI Engineering: Python, PyTorch, LangChain, MLOps
  • Data Engineering: Databricks, Snowflake, Synapse, BigQuery
  • Cloud/Data Architecture alignment across AWS, Azure, GCP
  • AI Governance: Responsible AI and compliance considerations

For more details reach at resumes@navitassols.com.



Frequently asked questions

Q: What skills or qualities help someone succeed as a Enterprise Software Engineer?

A: To succeed as an Enterprise Software Engineer, key technical skills include proficiency in programming languages such as Java, Python, or C++, as well as expertise in software development methodologies like Agile and DevOps. Additionally, strong problem-solving skills, attention to detail, and the ability to collaborate with cross-functional teams are essential soft skills, along with effective communication, adaptability, and a willingness to learn and stay up-to-date with emerging technologies. These strengths enable Enterprise Software Engineers to design, develop, and deploy scalable, reliable, and secure software solutions that meet the complex needs of large organizations, driving career growth and effectiveness in the role.

Q: What is the career path for a Enterprise Software Engineer?

A: A typical career path for an Enterprise Software Engineer involves progression from entry-level roles such as Junior Software Engineer or Software Development Engineer, to mid-level positions like Senior Software Engineer or Technical Lead, and eventually to senior roles like Technical Architect or Engineering Manager. Along the way, key opportunities for skill development and professional growth include mastering programming languages, learning software design patterns, and gaining experience with Agile methodologies, cloud computing, and DevOps practices. Long-term career prospects for Enterprise Software Engineers may include transitioning into leadership roles, pursuing specialized areas like artificial intelligence or cybersecurity, or exploring adjacent fields like product management or technical consulting.



NavitasPartners job posting for a GenAI & Agentic AI Engineer - Enterprise AI Platforms - AIRLHV in Allentown, PA with a salary of $148,000 to $167,800 Annually with a map of Allentown location.