to design and deliver cutting-edge solutions at the intersection of
Agentic AI, automation, and opportunity discovery
. This role blends deep technical expertise with strategic thinking to not only build intelligent systems but also
identify and prioritize areas where AI and automation can drive measurable impact
across the organization.
You'll work hands-on with large language models, agent frameworks, and automation tools while collaborating with cross-functional teams to uncover high-value use cases and deliver end-to-end intelligent solutions.
Key Responsibilities:
Design and develop
Agentic AI systems
using LLMs and multi-agent frameworks to drive autonomous decision-making and task execution.
Build scalable automation solutions to streamline manual processes and improve operational efficiency.
Proactively identify and assess opportunities
for AI and automation through close collaboration with business and technical stakeholders.
Integrate AI-driven solutions with enterprise systems (e.g., JIRA, SharePoint, ServiceNow) via APIs and cloud platforms.
Lead the full development lifecycle - from concept and POC to deployment and optimization.
Translate complex requirements into scalable technical architectures.
Stay current on advancements in GenAI, Agentic AI, and intelligent automation to continuously evolve solution capabilities.
Required Skills:
Strong programming background (Python required; JavaScript/TypeScript or other languages a plus).
Hands-on experience in developing GenAI/LLM-based applications.
Knowledge of agent frameworks (e.g., LangChain Agents, OpenAI Agents, AutoGen).
Experience building
automation workflows
using RPA tools, scripting, or custom logic.
Familiarity with RAG (Retrieval-Augmented Generation), vector databases, and enterprise data systems.
Strong problem-solving skills and ability to communicate technical concepts clearly.
Project management experience with an Agile mindset.
Education & Experience
Recommended
Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 5-7 years of work experience, preferably in computer programming languages, agile development methodology, or a related field.
Experience integrating AI with enterprise tools
Exposure to cloud platforms
Prior experience leading discovery workshops or assessments for AI/automation opportunities.
Knowledge & Skills
Agile Methodology
Algorithms
Amazon Web Services
Apache Spark
Artificial Intelligence
Automation
Big Data
C++ (Programming Language)
Computer Science
Data Science
Deep Learning
Java (Programming Language)
Machine Learning
Microsoft Azure
Natural Language Processing
Python (Programming Language)
PyTorch (Machine Learning Library)
Scikit-learn (Machine Learning Library)
Software Engineering
TensorFlow
Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Impact & Scope
Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
* This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
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