Head

Head of Engineering – AI & SaaS – Bangalore, India

Omind TechnologiesVisit website ↗·Posted 2 weeks ago

Location

KA, IN

Required Skills

AWSAzureGCPMachine LearningAIDevOpsCI/CDAgileMicroservicesSalesforce

About the Role

Job Category: Engineering Job Type: Full Time Job Location: Bangalore Karnataka Looking for Head of Engineering jobs in Bangalore in AI and SaaS? Omind is hiring a Head of Engineering – AI . SaaS to lead the technology vision, engineering culture, and product delivery for next-generation AI-powered customer experience platforms.
This is a high-impact opportunity for professionals exploring engineering leadership jobs in Bangalore, AI SaaS jobs in India, or technology leadership roles in a fast-growing innovation-driven environment.

Job Description: --------------------

About the Role

The Head of Engineering (AI . SaaS) at Omind leads the end-to-end technology organization, driving the development of scalable, AI-powered customer experience (CX) products while building a strong engineering culture.

This role combines strategic leadership, hands-on technical direction, people management, . product delivery ownership. You will work closely with Product, Sales, . Customer Success teams to deliver secure, scalable, . high-performance SaaS solutions.

Key Responsibilities ------------------------

Engineering Leadership . Strategy

• Define and execute the technology strategy for AI-powered SaaS products

• Build and scale engineering teams across AI/ML, backend, frontend, data engineering, and DevOps

• Establish a long-term architectural vision balancing innovation, scalability, and maintainability

• Evaluate emerging AI and SaaS technologies and drive adoption

AI . Machine Learning Excellence

• Lead development and deployment of AI/ML models, intelligent features, and automation workflows

• Ensure strong MLOps practices including model training, deployment, monitoring, and versioning

• Implement responsible AI practices including data governance, compliance (GDPR, SOC 2., and model fairness

• Integrate LLMs, GenAI, NLP, and predictive analytics into SaaS platforms

SaaS Platform Engineering

• Own architecture, infrastructure, and reliability of multi-tenant SaaS platforms

• Ensure performance, scalability, security, and uptime aligned with SLAs/SLOs

• Oversee cloud infrastructure (AWS, Azure, GCP) and optimize costs

• Guide teams in microservices architecture, API development, and distributed system

Engineering Operations . Delivery

• Establish engineering best practices including CI/CD, code quality, and test automation

• Drive Agile methodologies for predictable and efficient delivery

• Track engineering KPIs such as velocity, uptime, deployment frequency, and model performance

• Oversee release management, documentation, and continuous improvement initiatives

Cross-Functional Collaboration

• Partner with Product Management to define roadmaps and translate business needs into technical solutions

• Collaborate with Data, Design, and Customer Success teams to deliver impactful features

• Communicate engineering vision and progress to executive leadership and stakeholders

Team Building . Management

• Build, mentor, and scale high-performing engineering teams across functions

• Establish a culture of innovation, accountability, and continuous learning

• Define goals, KRAs, and performance standards

Product Development . Delivery

• Own end-to-end product delivery lifecycle

• Ensure high code quality, timely releases, and scalable system architecture

• Collaborate with Product Managers on prioritization, sprint planning, and release cycles

Job Requirements: ---------------------

Education . Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

• 10. years of software engineering experience with 5. years in leadership roles

• Proven experience building and scaling SaaS platforms and AI/ML-powered products

Technical Skills

• Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, OpenAI APIs)

• Deep understanding of SaaS architecture, multi-tenancy, microservices, APIs, and distributed systems

• Experience with cloud platforms (AWS, GCP, Azure) and MLOps/DevOps tools

• Strong knowledge of data engineering, ETL pipelines, and data governance

Leadership . Competencies

• Strategic thinking with strong execution and decision-making capabilities

• Excellent communication and stakeholder management skills

• Experience scaling teams in high-growth SaaS environments

Preferred Qualifications

• Experience building AI-driven SaaS products (LLMs, automation tools, recommendation engines)

Background in startup environments or scaling engineering teams (0 1 or 1* 100.

• Familiarity with compliance frameworks such as SOC 2, ISO 27001, GDPR

• Experience with generative AI and LLM fine-tuning

Preferred Experience In

• Customer Experience (CX) platforms / BPO technology

• Conversational AI and chatbot platforms

• CRM integrations (Salesforce, Zendesk, etc.)

Work Details Location: Bangalore, Karnataka, India

Department: Technology / Engineering

Employment Type: Full-time

Industry: Software Development

Why Join Omind?

If you are exploring Head of Engineering jobs in Bangalore, AI SaaS leadership roles, or technology leadership jobs in India, Omind offers:

• Opportunity to lead innovation in AI, machine learning, and automation

• High ownership over engineering strategy, culture, and product direction

• A collaborative, fast-growing environment with cutting-edge technologies

• The ability to build and scale world-class engineering teams and products Join Omind and shape the future of AI-powered customer experience platforms.

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