Senior Manager 1

Company Overview

Incedo is a US-based consulting data science and technology services firm with over 3000 people helping clients
from our six offices across US Mexico and India. We help our clients achieve competitive advantage through
end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering data science and
design capabilities coupled with deep domain understanding. We combine services and products to maximize
business impact for our clients in telecom Banking Wealth Management product engineering and life science
& healthcare industries.
Working at Incedo will provide you an opportunity to work with industry leading client organizations deep
technology and domain experts and global teams. Incedo University our learning platform provides ample
learning opportunities starting with a structured onboarding program and carrying throughout various stages of
your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible
career paths allow you to grow into a program manager a technical architect or a domain expert based on your
skills and interests.
Our Mission is to enable our clients to maximize business impact from technology by

• Harnessing the transformational impact of emerging technologies
• Bridging the gap between business and technology

Role Description

The Senior Manager Generative AI (GenAI) Engineering will play a pivotal role in driving the organizations AI-led product innovation and engineering execution.

Reporting to the Director / Senior Director GenAI Engineering this leader will be responsible for translating AI strategy into action managing cross-functional engineering teams and delivering GenAI-based solutions frameworks and proof-of-concepts (PoCs) across enterprise programs.

This role demands a hands-on engineering leader with strong expertise in AI/ML frameworks full-stack product development and cloud-native architectures (preferably AWS). The Senior Manager will guide a team of engineers architects and data practitioners ensuring technical excellence innovation and delivery rigor.

The ideal candidate brings a product mindset a passion for Experimentation AI-led transformation and the ability to balance strategic thinking with deep technical execution.

Technical Skills

1. AI Solution Delivery and Product Engineering

• Lead the design and implementation of 1-2 GenAI-driven solutions PoCs and client-facing prototypes aligned with the enterprise GenAI roadmap.
• Translate strategic AI initiatives into execution plans managing delivery timelines technical risks and dependencies.
• Collaborate with the Director and teams to build AI accelerators reusable components and automation frameworks for internal and client use cases.
• Drive the integration of Generative AI capabilities into existing systems and applications including intelligent assistants document automation and code intelligence.
• Drive engineering quality code reviews and technical standards for AI solution delivery.
• Contribute to architecture discussions ensuring solutions are scalable secure and aligned with organizational standards.

2. Technical Leadership and Hands-on Contribution

• Build GenAI solutions LLM-based applications and prompt engineering frameworks hands-on using Python LangChain Hugging Face and related ecosystems.
• Lead experimentation with fine-tuning embedding strategies and RAG architectures for enterprise use cases.
• Act as the technical anchor within GenAI programsable to guide teams and contribute directly when required.
• Participate in architecture reviews and ensure adherence to AI governance principles.
• Collaborate with data engineering and DevOps teams to ensure smooth AI/ML model deployment pipelines (MLOps / AIOps).

3. Talent Development and Team Leadership

• Manage and mentor a team of AI engineers full-stack developers and architects.
• Foster a learning culture encouraging engineers to explore new GenAI tools frameworks and problem-solving methods.
• Conduct regular code walkthroughs design reviews and innovation sessions to enhance team capability.

4. Collaboration and Stakeholder Management

• Engage with clients and internal stakeholders to understand business problems and propose AI-driven solutions.
• Collaborate with cloud security and infrastructure teams to ensure smooth deployment of AI applications.
• Partner with leadership to present technical outcomes PoC results and capability showcases.

Technical Prowess

1. Generative AI and ML Expertise

• Hands-on experience with AI development frameworks: LangChain LlamaIndex Hugging Face OpenAI APIs PyTorch TensorFlow.
• Experience in prompt engineering RAG pipeline design vector database integration and LLM tuning.
• Exposure to Agentic AI architectures AI guardrails and self-healing systems.

2. Product and Platform Engineering

• Experience in software product engineering with at least 35 years in AI/ML solution delivery.
• Strong background in MACH Architecture full-stack development and cloud-native application design.
• Proficiency in Python Java or similar technologies for backend; and React Angular or for frontend.
• Experience in DevOps/MLOps/AIOps pipelines CI/CD and containerized environments (Docker Kubernetes).
• Proficiency in databases (SQL NoSQL graph vector stores) and data modelling for AI use cases.

3. Cloud and Infrastructure Skills

• Strong command of AWS ecosystem (SageMaker Bedrock ECS Lambda Redshift IAM KMS).
• Experience deploying solutions on atleast one cloud ( AWS Azure or GCP) environments.

Nice-to-have skills

Qualifications

Experience and Background

• 1216 years of professional experience in product engineering digital solutions or AI-led product development.
• Proven track record in leading teams delivering AI/ML solutions and managing engineering execution.
• Strong understanding of AI adoption frameworks CoE practices and engineering maturity models.
• Experience in client engagement stakeholder communication and technical consulting.
• Exposure to Agile methodologies scrum leadership and innovation-driven delivery.

Certifications (Preferred)

• AWS / Azure / GCP Certified Solutions Architect Associate or Professional
• Generative AI or Applied AI Certification (AWS Google Cloud Microsoft)
• Scrum Master / SAFe Practitioner certification desirable
• TOGAF Foundation preferred for architecture understanding.

Company Value

We value diversity at Incedo. We do not discriminate based on race religion color national origin gender sexual orientation age marital status veteran status or disability status.