Gen AI Lead/Architect

Hybrid in Rosemont, IL, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
Hybrid
Depends on Experience
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Fitment

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Job Details

Skills

  • Business Intelligence
  • Amazon Web Services
  • Artificial Intelligence
  • Management
  • Orchestration
  • Dashboard
  • Data Analysis
  • Databricks
  • Evaluation
  • Log Analysis
  • People Management
  • Prototyping
  • Regression Testing
  • Reporting
  • Scripting
  • Shipping
  • Testing
  • Assembly
  • Build Vs Buy
  • Version Control
  • Workflow
  • Analytics
  • Collaboration
  • Communication
  • Control Flow
  • FOCUS
  • Unity

Summary

Job Description

Gen AI Lead/Architect

Who we are: -

At CitiusTech, we constantly strive to solve the industry's greatest challenges with technology, creativity, and agility. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence for over 140 organizations through next-generation technologies, solutions, and products. We aim to accelerate the transition to a human-first, sustainable, and digital healthcare ecosystem with the world's leading Healthcare and life sciences organizations and our partners.

Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives.

Our vision: -

To inspire new possibilities for the health ecosystem with technology and human ingenuity.

What is in it for you?

We are seeking a high-caliber AI Tech Lead / AI Engineer to design, build, and operationalize agentic AI solutions that accelerate analytics and reporting delivery. This role goes beyond basic agent creation and requires hands-on experience with agent orchestration, memory, and enterprise-grade data access patterns, delivering scalable components that fit into an existing framework while rapidly adapting to incoming business requests.

Responsibilities: -

  • Design, Architect, implement, and iterate on agentic AI solutions to shorten the cycle time for analytics, log analysis, and reporting requests.
  • Design agent orchestration patterns (multi-agent workflows), tool/function calling, and memory approaches appropriate for enterprise deployments.
  • Define secure and scalable data access patterns for agents (retrieval, context building, and grounding), integrating with existing data sources and governance expectations.
  • Partner closely with product, analytics, and engineering stakeholders to intake requirements quickly and deliver working prototypes and production-ready solutions.
  • Engineer reusable components and best practices that enable scalable delivery (not one-off scripts), aligned to an existing base framework.
  • Operationalize solutions for reliability and maintainability: testing strategies, monitoring/observability, prompt/version management, and deployment automation.
  • Evaluate build vs. buy options pragmatically when needed, while keeping focus on shipping solutions on the current platform stack.

Tech Stack (Core): -

  • Cloud: AWS (primary deployment environment; open to alternatives)
  • Data/Analytics Platform: Databricks (including native chat with data capabilities and potential agent integrations)
  • Agent Frameworks: LangChain, LangGraph
  • Conversational analytics patterns: Ask-questions-on-data / conversational BI approaches (agent-driven analytics and dashboards

Experience: -

10+ Years

Location: -

Rosemont, IL (3days/Week)

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

  • Demonstrated experience delivering agentic AI solutions beyond prototypes, including enterprise deployment considerations.
  • Strong hands-on engineering background with AWS-based deployments.
  • Experience working with modern data platforms (e.g., Databricks) and integrating LLM solutions with analytics/data ecosystems.
  • Ability to operate as a senior individual contributor who can define architecture and implement key pieces end-to-end.

Excellent communication and collaboration skills with US-based stakeholders

Skills & Expertise Needed

  • Agentic AI engineering: building and deploying LLM-powered agents for real business workflows.
  • Agent orchestration: designing multi-step and/or multi-agent flows; managing tool use, control flow, retries, and failure handling.
  • Agent memory: short-term and long-term memory patterns; conversation state; summarization and context window management.
  • Enterprise data access patterns for agents: retrieval/grounding strategies; context assembly from structured and unstructured sources; performance-conscious access.
  • Production deployment mindset: security, reliability, monitoring, and maintainability for enterprise-grade AI services.
  • Architecture & best practices: ability to design scalable components that fit into an existing framework and can be extended by the team.
  • Rapid requirements intake: quickly translating ambiguous reporting/analytics asks into implementable solutions and iterating with stakeholders.
  • High autonomy: tech-lead level capability without direct people management; self-directed and able to set engineering direction for the workstream

Good-to-Have Skills

  • Experience implementing retrieval-augmented generation (RAG) and hybrid retrieval across structured/unstructured sources.
  • Experience with LLMOps practices: prompt/version management, automated evaluation, and regression testing.
  • Experience building observability for AI systems (quality metrics, traces, latency/cost monitoring).
  • Familiarity with Databricks-specific agent or model serving patterns (where applicable).

Experience building lightweight analytics experiences on top of agent outputs (e.g., auto-generated insights/dashboards).

Life at CitiusTech

We focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset, centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance.

Rated by our employees as the Great Place to Work for according to the Great Place to Work survey. We offer you a comprehensive set of benefits to ensure that you have a long and rewarding career with us.

Our EVP

Be You Be Awesome is our EVP and it reflects our continuing efforts to create CitiusTech as a great place to work where our employees can thrive, both personally and professionally. It encompasses the unique benefits and opportunities we offer to support your growth, well-being, and success throughout your journey with us and beyond. Together with our clients, we are solving some of the greatest healthcare challenges and positively impacting human lives. Welcome to the world of Faster Growth, Higher Learning, and Stronger Impact.

Join CitiusTech. Be You. Be Awesome.
To learn more about CitiusTech, visit and follow us

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10482231
  • Position Id: 8943708
  • Posted 2 hours ago

Company Info

About CitiusTech

At CitiusTech, we believe human life is at the heart of the healthcare ecosystem. We’re using all our resources; our people, our business, our technology, our investments, and our creativity to make healthcare better for all – efficient, effective, equitable.

We are CitiusTech, the digital vanguard, enabling MedTech, Health Plans, Providers, and Life Sciences organizations to power healthcare digital innovation, business transformation and industry-wide convergence through consulting, next-gen technologies, solutions, and products.

Our vision is to inspire new possibilities for the health ecosystem with technology and human ingenuity.

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