Agentic AI Engineer

JOB SUMMARY

This role would build intelligent systems that not only generate novel content and data but also exhibit autonomous decision-making and action-taking capabilities. This role requires a strong foundation in software engineering principles to effectively develop, integrate, and deploy these advanced AI solutions. By leveraging large language models and other generative techniques to create sophisticated AI agents capable of independent problem-solving and goal achievement, this role will be instrumental in developing cutting-edge intelligent applications that will significantly enhance our operational efficiency and create novel product features.

ESSENTIAL RESPONSIBILITIES

• Designing, developing, and deploying generative AI models (e.g., LLMs, diffusion models)

• Architecting and building agentic systems with autonomous decision-making capabilities

• Integrating generative AI and agentic solutions into existing products and services

• Developing and maintaining the software infrastructure required for AI/ML pipeline

• Developing and implementing data pipelines for training and evaluating AI models

• Collaboration, Documentation, Monitoring & Evaluation of AI Systems

• Conducting research and experimentation with new generative AI and agentic techniques

• Other duties as assigned or requested

EXPERIENCE

Required

• 5 years' experience in Software Development experience (Python preferred)

• 3 years' experience working with large language models (LLMs)

• 3 years' experience in Building and deploying AI agent systems or similar autonomous systems 

• 2 years' experience in Developing and deploying machine learning models in production

Preferred

• 2 years' Familiarity with Cloud Computing Platforms

• 1 year experience working with specific Agentic Frameworks (like LangChain, AutoGPT,Semantic Kernel, etc..)

• 1 year experience in Deploying AI models at scale in high-throughput, low-latency environments

SKILLS

• Proficient in Python and relevant AI/ML libraries 

• Significant experience in prompt engineering and fine tuning LLM models

• Knowledge and experience in different generative AI techniques and their applications

• Ability to design and implement agentic frameworks and architectures

• Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc..)

• Familiarity with MLOps principles and tools for model deployment and monitoring

• Understanding of the security implications and mitigation strategies for generative AI and agentic systems

• Ability to stay up-to-date with the latest advancements in AI and generative models

• Strong problem-solving and analytical skills

• Excellent communication and collaboration skills

EDUCATION

Required

• Bachelor’s degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees.

Preferred

• Master's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees

LICENSES or CERTIFICATIONS

Required

• None

Preferred

• Google Cloud Professional Machine Learning Engineer

Language (Other than English):

None

Travel Required:

Less than 25%

PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS

Position Type

Office-Based or Remote Position

Physical work site required

Never

Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.
Compliance Requirement: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.
As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times.  In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy. 
Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.

Pay Range Minimum:

Pay Range Maximum:

Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations.  The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets.

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