Senior Lead AI Developer

Akaasa Technologies; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Akaasa Technologies in the United States seeks a Senior Lead AI Developer to design AI-driven automations and scalable architectures. You will lead end-to-end AI-enabled transformations, partner with business leaders, and mentor the AI Enablement team to deliver strategic, high-impact solutions.

The role emphasizes architecture discipline, hands-on GenAI/ML delivery, and collaboration across data, software, and security domains to drive monetizable outcomes.

Qualifications

• 8+ years in software/AI/ML with cloud and distributed architectures
• Hands-on with major cloud platforms (Azure, GCP, AWS)
• Experience with Kubernetes and container orchestration
• Extensive GenAI and ML solution design/implementation experience
• Experience building complex agentic workflows and automation
• Experience with financial data processing and analytics enabled by AI/ML
• Experience enabling NLP-based querying against large relational databases
• Experience with analytics AI use cases like forecasting and fraud detection

Responsibilities

• Work independently with business leaders and SMEs to understand processes, pain points, and objectives
• Design and propose AI-enabled solutions that automate business processes end-to-end
• Create automation and ML architecture and lead build-out of solutions
• Design and implement Generative AI, ML, automation, and complex workflows
• Build semantic layers using RAG, Knowledge Graphs, GraphRAG
• Enable NLP querying against large-volume databases with many tables
• Architect and implement financial data processing and analytics with AI/ML
• Develop analytics AI capabilities including forecasting and fraud detection
• Drive an AI-first architecture across data processing and automation initiatives
• Present designs and roadmaps to business leaders and large IT audiences
• Provide technical leadership and mentorship within the AI Enablement team

Skills

AI architecture

Stakeholder collaboration

Communication

Mentorship

Tools

Azure

GCP

AWS

Kubernetes

Job description

MUST BE TRUE LEAD LEVEL

MUST COMPLETE ROPES ASSESSMENT

Senior Lead AI Developer Position Overview

Key Responsibilities

Work independently and collaborate directly with business leaders and SMEs to understand current business processes, pain points, and objectives.

Design and propose AI-enabled solutions that transform and automate existing business processes end-to-end.

Create automation, AI, and ML architecture, including detailed technical design, and lead the build-out of the resulting solutions.

Design and implement Generative AI, Machine Learning, automation, and complex agentic workflow solutions.

Build high-performing, complex semantic layers using advanced technologies such as RAG, Knowledge Graphs, and GraphRAG.

Enable natural language querying (NLP) against large-volume databases with a large number of tables and complex relationships.

Architect and implement financial data processing and analytics solutions enabled by AI/ML.

Develop analytics AI capabilities, including forecasting, fraud detection, and prediction models using Machine Learning.

Drive an AI-first architecture approach across data processing automation and business process automation initiatives.

Design solutions for high-volume processing using event-driven frameworks and platforms.

Present technical concepts, solution designs, and roadmaps clearly to business leaders and large IT audiences.

Provide technical leadership and mentorship within the AI Enablement team.

Required Qualifications

Experience

More than 8 years of experience in software/AI/ML development, including cloud and distributed architecture and platform solutions.

Hands-on experience with major cloud platforms: Azure, GCP, and AWS.

Experience with Kubernetes and container orchestration.

Experience with event-driven frameworks/platforms and high-volume data processing.

Extensive experience with Generative AI (GenAI) and Machine Learning solution design and implementation.

Experience building complex agentic workflows and automation solutions.

Experience with financial data processing and analytics enabled by AI/ML.

Experience building semantic layers using RAG, Knowledge Graph, and GraphRAG technologies.

Experience enabling NLP-based querying against large, complex relational databases.

Experience with analytics AI use cases such as forecasting, fraud detection, and prediction using ML.

Skills & Competencies

Strong ability to translate business processes into AI/automation architecture and detailed technical designs.

Ability to work independently with minimal oversight while managing multiple stakeholders.

Strong analytical and problem-solving skills with an AI-first mindset.

Excellent communication and presentation skills, with the ability to engage business leaders and large IT audiences effectively.

Strong collaboration and soft skills, with the ability to build trust with business and technology stakeholders.

Preferred Attributes

Prior experience in Finance Technology or financial services domains.

Track record of leading AI transformation initiatives from concept through production deployment.

Experience mentoring junior developers and driving technical best practices.