TECHNICAL ARCHITECT

Job Description

Job Description: Senior AI Automation Engineer

Position Summary

We are seeking a highly skilled AI Automation Engineer to accelerate AI adoption and automation initiatives across multiple technology and business teams. The role will focus on designing, developing, and deploying AI-powered workflows, agentic automation frameworks, API integrations, and reusable accelerators that improve operational efficiency, reduce manual effort, and enable faster delivery across the enterprise.

Key Responsibilities

Design and implement AI-driven automation solutions to improve engineering and operational processes.

Develop AI workflows, agent orchestration frameworks, and automation pipelines using modern AI platforms.

Integrate LLMs, enterprise tools, and applications through APIs and workflow orchestration platforms.

Build Proof of Concepts (POCs), pilots, and reusable AI accelerators for enterprise adoption.

Create intelligent remediation and automation solutions to reduce manual effort across development and infrastructure teams.

Develop AI agents capable of performing multi-step tasks, decision-making, and workflow execution.

Collaborate with product, engineering, infrastructure, security, and operations teams to identify automation opportunities.

Establish best practices, governance, and reusable patterns for AI implementation.

Support enterprise modernization initiatives through AI-enabled process transformation.

Measure and report productivity gains, efficiency improvements, and business outcomes.

Required Skills Strong experience in Python development.

Hands-on experience with Generative AI, LLMs, and AI Agent frameworks.

Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.

Strong understanding of prompt engineering, RAG, vector databases, and AI workflow design.

Experience integrating enterprise applications using REST APIs and SDKs.

Knowledge of API integration, authentication, token management, and workflow orchestration.

Experience with automation platforms such as Power Automate, Zapier, n8n, or similar.

Familiarity with cloud platforms (Azure, AWS, or GCP).

Experience with Git, CI/CD pipelines, and software development best practices.

Strong problem-solving and stakeholder communication skills.

Preferred Qualifications Experience building enterprise AI agents and copilots.

Knowledge of development, infrastructure, security, or vulnerability remediation processes.

Experience implementing AI solutions for productivity improvement and process automation.

Understanding of enterprise architecture and system integration patterns.

Exposure to MLOps, observability, and AI governance frameworks.

Expected Outcomes Accelerate AI adoption across multiple technology organizations.

Deliver reusable AI frameworks and automation accelerators.

Reduce manual engineering effort through intelligent automation.

Enable faster experimentation, innovation, and enterprise transformation.

Drive measurable productivity and efficiency gains across teams.

Experience 8+ years of software engineering experience.

3+ years of hands-on experience in AI/ML, Generative AI, or intelligent automation initiatives.

Prior experience leading enterprise automation or AI transformation initiatives preferred.