AI Technical Lead

5 days ago

Greater Chennai Area, India Ziffity Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year


•
Architecture & Strategy
: Define and evolve the technical architecture of a multi

tenant SaaS platform.


•
Engineering Leadership
: Translate product requirements into robust, scalable

technical solutions across APIs, microservices, and automation frameworks.


•
Team Leadership
: Mentor and guide engineers, establish coding standards, and

foster a culture of technical excellence.


•
AI & Data Systems
: Oversee design of ML/AI-driven modules, analytics engines,

and data pipelines.


•
Agentic AI Solutions
: Design and implement autonomous and semi-autonomous

AI agents to drive decision-making, workflow automation, and user interactions.


•
LLM Integration & Orchestration
: Lead initiatives in leveraging large language

models (LLMs), multi-agent orchestration frameworks, and vector databases to

create adaptive, intelligent systems.


•
Integration Ecosystem
: Lead development of integrations with third-party systems

(eCommerce platforms, ERPs, CRMs, marketplaces, etc.).


•
Security & Compliance
: Ensure platform adheres to enterprise-grade security,

compliance, and privacy standards.


•
Performance & Scalability
: Anticipate growth needs and ensure high availability,

reliability, and cost optimization.


•
Cross-Functional Collaboration
: Partner with product, design, and business

stakeholders to align technical execution with business goals.

Required Qualifications


• 10–15 years of experience in software engineering with at least 5 years in technical

leadership roles.


• Proven track record of architecting and scaling SaaS platforms.


• Strong expertise in cloud-native development (AWS, Azure, or GCP), microservices,

and API-first architectures.


• Hands-on experience with modern backend frameworks , Python, Java, or

Go).


• Background in data engineering, event-driven systems, and ML/AI integration.


• Experience designing AI/ML solutions for personalization, forecasting, NLP, and

anomaly detection.


• Demonstrated experience with
agentic AI
systems (multi-agent orchestration, task

planning, tool-use frameworks).


• Strong knowledge of DevSecOps, CI/CD, MLOps, and infrastructure-as-code

practices.


• Demonstrated success in building and leading high-performing engineering teams.

Preferred Qualifications


• Experience in SaaS, eCommerce, or AI/ML-driven products.


• Knowledge of ERP, CRM, or marketplace integrations.


• Familiarity with big data frameworks (Kafka, Spark, Snowflake, etc.).


• Experience with modern AI/ML toolchains (TensorFlow, PyTorch, Hugging Face,

LangChain, vector databases).


• Exposure to observability and monitoring tools (Grafana, Prometheus, Datadog, ML

model monitoring platforms).


• Experience in early-stage/startup environments with fast-paced execution.

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