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Urgent! Agentic AI Solutions Architect Job Opening In USA, USA – Now Hiring Highmark Health
Description
:JOB SUMMARY
This role will lead the design and architecture of our next-generation intelligent agent systems and solutions powered by generative AI.
As a key technical expert, this role will be responsible for defining the blueprint for autonomous, adaptive AI agents that can reason, plan, learn, and act within complex environments to achieve specific goals.
The role will collaborate closely with product managers, AI engineers, Data Scientists and business stakeholders to translate business needs into robust, scalable, and ethical agentic AI solutions.
This role demands a deep understanding of generative AI models, agentic frameworks, software architecture principles, and the ability to navigate the rapidly evolving landscape of artificial intelligence.
ESSENTIAL RESPONSIBILITIES
Defining the architectural vision and strategy for agentic AI solutions
Designing end-to-end architectures for agentic AI systems, including generative AI model integration
Guiding the integration of agentic AI solutions with existing systems and defining integration standards
Establishing architectural patterns and best practices for building scalable and reliable agentic AI
Collaborating with engineering and product teams to ensure architectural alignment and provide guidance
Evaluating emerging AI and agentic technologies and their potential architectural impact
Overseeing the design and implementation of data pipelines and infrastructure required for agentic AI
Other duties as assigned or requested
EXPERIENCE
Required
7 years of experience with Software Solution Architecture experience designing, developing, testing, and deploying robust and scalable software applications, with a focus on AI/ML solutions
3 years of experience in designing solutions leveraging large language models (LLMs) and generative AI
3 years of experience with Architecting and designing AI agent systems or similar autonomous systems
2 years of experience with Designing robust data architectures to support AI/ML workflows and agentic systems
Preferred
3 years of experience with Deploying AI models at scale in high-throughput, low-latency environments
3 years of Familiarity with architecting solutions on Cloud Computing Platforms
1 year of experience in architecting solutions using specific Agentic Frameworks (like LangChain, AutoGPT, Semantic Kernel, etc.)
SKILLS
Strong knowledge of large language models (LLMs), their capabilities, limitations, and application in agentic systems.
Strong understanding of agentic AI concepts, including planning, reasoning, memory, and action execution.
Strong understanding of software architecture principles, design patterns, and system integration methodologies.
Expertise in designing and building RESTful APIs and microservices for AI/ML integration.
Proficiency in one or more major programming languages (Python strongly preferred) and software development best practices.
Experience with prompt engineering and fine-tuning of large language models for specific tasks.
Familiarity with MLOps principles and tools for deploying, monitoring, and managing AI models and agentic systems in production.
Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
Strong problem-solving and analytical skills, Leadership and influencing skills to guide technical direction.
Ability to think strategically and holistically about complex systems.
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
Cloud Architect Certification (GCP/AWS)
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
Pay Range Minimum:
$108,000.00Pay Range Maximum:
$201,800.00Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
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Unlock Your Agentic AI Potential: Insight & Career Growth Guide
Real-time Agentic AI Jobs Trends in United States, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Agentic AI in United States, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 22012 jobs in United States and 429 jobs in United States. This comprehensive analysis highlights market share and opportunities for professionals in Agentic AI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Highmark Health is currently hiring and seeking a Agentic AI Solutions Architect to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Agentic AI Solutions Architect Jobs United States.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Highmark Health adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Agentic AI Solutions Architect Jobs United States varies, but the pay scale is rated "Standard" in United States. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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