Job Title: AI Engineer
Location: Alpharetta, GA(Onsite) || LOCAL PROFILES ONLY
Interview Mode: Face to Face Client Interview
Position Type: Contract
Job Description:
1. AI-First Engineering Execution
Design and build AI and agentic solutions across enterprise workflows
Apply AI/GenAI/Agent-based approaches to improve productivity, automation, and decision-making
Contribute to end-to-end lifecycle: use case identification build optimization
2. Embedded Delivery Model (Forward Deployed)
Work as embedded engineers within client teams / pods, not siloed delivery units
Quickly understand domain context and deliver impact within short cycles
Act as AI multipliers, uplifting existing teams through tools, patterns, and best practices
(Aligned to embedding AI-native engineers within teams to retool workflows and uplift talent )
3. Drive Replacement of Low-Leverage Effort
Replace traditional, high-volume, lower-skill effort with high-value AI-led engineering
Focus on quality, speed, and outcomes, not effort or headcount
Deliver 10x leverage through automation, accelerators, and reusable assets
4. Build Reusable AI Assets & Patterns
Create reusable components (agents, workflows, templates, accelerators)
Enable cross-team reuse and reduce duplication of effort
Contribute to enterprise-wide AI capability building
5. Continuous Innovation & Experimentation
Identify new opportunities to apply agentic AI, GenAI, and automation
Rapidly prototype and test ideas (PoCs, pilots)
Stay ahead of evolving AI ecosystem (tools, frameworks, models)
Core Skills & Experience
Strong hands-on experience in:
AI / GenAI / LLM-based development
Workflow automation / agent-based systems
API integration and modern engineering practices
Ability to work in BFS domains and adapt quickly
Strong problem-solving mindset with focus on business outcomes
Good-to-Have
Exposure to:
Multi-agent architectures
AI-driven SDLC productivity tools
Data engineering / pipelines for AI