Job Description
Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize AI at scale and unlock sustained enterprise value.
Our offerings span AI solutions, data services, enterprise applications, and product engineering, tailored to industry-specific needs across healthcare, life sciences, telecom, retail, financial services, and technology. By leveraging design thinking and technology-agnostic architectures, we ensure faster time-to-value and seamless interoperability.
With a proven track record of enabling Fortune 100 enterprises and global innovators, Accellor stands as a trusted partner for organizations seeking to harness the full potential of AI. Our vision is clear: to build intelligent, connected ecosystems that deliver measurable outcomes and redefine the future of enterprise transformation.
We are seeking a Lead AI Engineer to architect and deliver next-generation Agentic AI solutions powering our Marketing workstream. This role will lead the design and implementation of autonomous, multi-agent systems that drive personalization, content generation, campaign optimization, analytics, and intelligent customer engagement.
You will work at the intersection of LLMs, agent frameworks, AWS cloud-native AI services, and marketing technology systems, building scalable production-grade AI systems — not just prototypes.
This is a hands-on technical leadership role for someone who understands both AI architecture and real-world deployment at scale.
Responsibilities:
Agentic AI Architecture & Development
Design and implement production-grade agentic AI systems using frameworks such as LangChain, LangGraph, and other open-source LLM orchestration tools
Build multi-agent workflows with memory, tool use, reasoning chains, and autonomous decision-making
Develop RAG (Retrieval-Augmented Generation) systems integrated with marketing data sources
Implement evaluation, guardrails, observability, and continuous improvement loops
AWS AI & Cloud Engineering
Architect scalable AI systems using AWS services
Deploy and manage AI agents in secure, production cloud environments
Implement CI/CD and MLOps best practices for model lifecycle management
Marketing AI Workstream Enablement
Build AI-driven solutions for:
Campaign content generation
Customer segmentation and targeting
Conversational marketing agents
Lead qualification agents
Performance analytics automation
Integrate AI agents with CRM, CDP, marketing automation, and analytics platforms
Collaborate with marketing stakeholders to translate business needs into AI-driven workflows
Leadership & Governance
Provide technical leadership and architecture direction for AI initiatives
Mentor engineers and establish engineering standards for AI systems
Define best practices around prompt engineering, model selection, safety, and responsible AI
Drive evaluation frameworks for LLM accuracy, cost optimization, and performance
8+ years of software engineering experience, with 3+ years in AI/LLM systems
Proven experience building and deploying Agentic AI systems in production
Deep hands-on experience with:
LangChain
LangGraph
Open-source LLM orchestration frameworks
Strong experience with AWS AI ecosystem, especially Bedrock and SageMaker
Experience building RAG systems with vector databases (Pinecone, OpenSearch, Weaviate, etc.)
Strong Python engineering background
Experience building APIs and integrating AI systems with enterprise platforms
Experience designing scalable cloud-native architectures
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people.
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill training.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Disclaimer
Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic
