AI Tech Lead / AI Architect Job at NTT DATA (Bangalore)

AI Tech Lead / AI Architect

The AI Tech Lead / AI Architect will be responsible for designing and scaling en...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years software engineering/architecture experience
2+ years delivering AI/GenAI/ Agentic AI solutions in production
Strong architecture skills: distributed services, APIs, integration, security, and reliability
Hands-on experience with RAG and agentic/workflow orchestration patterns
Strong understanding of multi-agent systems, agent orchestration, and coordination patterns
Experience working with LLMs or AI reasoning systems, including managing model limitations and risks
Solid background in enterprise software engineering, APIs, and system integration
Strong understanding of Agentic AI Cognitive Frameworks
Strong understanding of Architectural Components of Agentic AI systems
Python, production-grade engineering practices

Job Responsibility

Multi-agent architecture & workflow orchestration: Define how agents work together (roles, shared context, coordination) and design orchestrated agent workflows for real business processes
Reusable patterns (avoid one-offs): Establish standard reference patterns and starter implementations so teams don’t build bespoke, hard-to-maintain AI solutions
Governance & compliance built-in: Embed practical controls (human-in-the-loop, approvals where needed) and ensure privacy/security expectations are met for sensitive/client data
Observability & production readiness: Ensure solutions have monitoring/telemetry and meet production standards for reliability and operational support
Enterprise integration & access control: Integrate agents with enterprise platforms/data sources and enforce entitlements/least-privilege access to prevent unintended exposure
Technical leadership & translation: Guide engineering teams, act as SME, and translate business objectives into scalable AI architecture that delivers measurable outcomes

Fulltime

Ai Tech Lead

Role Overview This position is for a hands-on technical leader responsible for ...

Location

United States , Columbia

Salary:

70.00 - 97.00 USD / Hour

Apex Systems

Expiration Date

Until further notice

Requirements

Proven experience leading the implementation of AI solutions in web, digital, or marketing technology environments
Experience embedding AI capabilities into CMS-driven applications, ideally Drupal or comparable enterprise content platforms
Hands-on expertise with Google Cloud Platform (GCP) for AI solution development
AWS experience is acceptable if the candidate can transition quickly to GCP
Experience designing and delivering conversational AI, chatbots, intelligent widgets, or other AI-driven user experiences
Experience with at least one real-world GenAI / Agent-based AI project deployed to production
Understanding of AI agents, with hands-on experience using at least one agent framework (e.g., LangGraph, ADK)
Strong software engineering and integration skills, including APIs, cloud services, system design, and deployment practices
Excellent communication and stakeholder management skills
Demonstrated ability to lead delivery in fast-paced environments and manage ambiguity under compressed timelines

Job Responsibility

Own the hands-on delivery of AI solutions by translating architectural direction into detailed technical design and implementation plans
Design and implement AI-driven experiences for the marketing website, including conversational interfaces, chatbots, and personalized user journeys
Lead the integration of AI capabilities into CMS-driven applications, with a focus on Drupal-based web experiences
Build and deploy cloud-based AI services on GCP, and evaluate equivalent patterns for candidates transitioning from AWS where appropriate
Partner with architects, product owners, and business stakeholders to clarify requirements and ensure business goals are met
Drive end-to-end execution, including technical breakdowns, effort estimation, sprint planning, risk management, and production support
Establish engineering best practices for scalability, performance, security, and responsible AI in customer-facing digital experiences
Mentor engineers and provide technical leadership through design and code reviews to improve quality and team velocity
Define and monitor success metrics such as engagement, conversion, and user experience quality
Support an accelerated delivery timeline by maintaining strong ownership and clear communication across technical and business teams

What we offer

Medical
dental
vision
life
disability
ESPP (employee stock purchase program)
401K program
HSA (Health Savings Account on the HDHP plan)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions
corporate discount savings program

Fulltime

AI Tech Lead

As a Tech Lead, you define the technical direction and architecture behind AI-dr...

Location

Austria

Salary:

Not provided

Radancy

Expiration Date

Until further notice

Requirements

Strong experience building and operating backend or platform systems in production
Hands-on experience with LLMs, agents, and patterns like RAG and orchestration
Proficiency in a backend/systems language (e.g. Scala or Rust)
Experience collaborating with Data Science teams using Python
Experience running services on AWS (Kubernetes/EKS preferred)
Familiarity with platforms like AWS Bedrock and/or Vertex AI
Solid system design skills (distributed systems, state, fault tolerance)
Ability to lead technically without direct line management

Job Responsibility

Lead the design, delivery, and operation of AI-driven services
Architect and scale production-ready AI systems using large language models and agent frameworks
Partner with Data Science and Engineering to turn experiments into robust, scalable systems
Own service reliability, performance, security, and scalability
Shape the technical roadmap by identifying improvements and surfacing risks early

What we offer

Ownership of high-impact AI initiatives with real customer impact
A modern stack: Scala, Rust, Python, AWS EKS, Bedrock, Vertex AI
The chance to shape how AI systems are built and operated at scale
Collaboration with experienced engineers, data scientists, and product leaders

AI Tech Lead

Addepto is a leading AI consulting and data engineering company that builds scal...

Location

Poland , Warsaw; Cracow; Wroclaw; Bialystok

Salary:

19320.00 - 28560.00 PLN / Month

Addepto sp. z o.o.

Expiration Date

Until further notice

Requirements

6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI)
Experience in leading end-to-end Machine Learning projects and managing cross-functional teams
Proficiency in developing ML algorithms from scratch to production deployment
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow)
Proven expertise in deploying solutions in cloud environments (preferably AWS and/or Azure)
Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)
High proficiency in English (C1 level)
Excellent communication skills and consulting experience with direct interaction with clients
Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)
Good knowledge of CI/CD principles (GitHub and GitHub Actions)

Job Responsibility

Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives
Lead the design of AI solution architectures that meet complex business goals and drive innovation
Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements
Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills
Understand clients’ needs and translate business problems into data science problems
Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security
Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.
Present findings and recommendations clearly and concisely to stakeholders
Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery

What we offer

Work in a supportive team of passionate enthusiasts of AI & Big Data
Engage with top-tier global enterprises and cutting-edge startups on international projects
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications
Choose your preferred form of cooperation: B2B or a contract of mandate, and enjoy 20 fully paid days off
Participate in team-building events and utilize the integration budget
Celebrate work anniversaries, birthdays, and milestones
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching
Get full work equipment for optimal productivity, including a laptop and other necessary devices
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups

Fulltime

New

Tech Lead / Solutions Architect (Python & GenAI)

Provectus is a global AI and cloud consulting company helping enterprises turn a...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure
Already using AI tools in your daily workflow (Claude Code, Copilot, or similar)
Proactive and self-directed
you own outcomes end-to-end and spot problems before they're handed to you
B2+ English, comfortable collaborating across distributed, multicultural teams
Owns the client technical relationship
leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget
Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks
Experience with cost estimation and cloud architecture cost optimization
7+ years building and running production systems not only demos and POCs

Job Responsibility

Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
Implement and optimize RAG systems for production use cases
Design and build LLM-based and agentic AI solutions that address real client business challenges
Own the technical direction of client engagements from discovery through delivery
Support presales: discovery calls, technical proposals, scoping, and client-facing demos
Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
Mentor engineers, lead code reviews, and share knowledge across the team
Build and maintain strong relationships with key client stakeholders as a trusted technical advisor

What we offer

Opportunity to work with cutting-edge AI and cloud solutions
Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications
Career growth: a clear path toward SA or beyond
we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Remote with flexible hours
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work

Fulltime

Tech Lead Gen AI

At Valtech, you’ll find an environment designed for continuous learning, meaning...

Location

India , Bengaluru

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience, with 3+ years in AI/ML engineering or GenAI platform roles
Production-grade RAG system delivery - from ingestion through retrieval to generation - not just prototyping
Deep GCP proficiency: Vertex AI, Cloud Run, Pub/Sub, VPC-SC, IAP, Secret Manager
Hands-on experience with vector stores: Vertex AI Vector Search, Weaviate, Pinecone, or equivalent
LLM evaluation and selection experience: commercial (Gemini, GPT-4) and open-source (Mistral, LLaMA)
Architectural authoring: ADRs, tech specs, system diagrams for engineering and cross-functional audiences
Demonstrated team lead experience: code reviews, technical mentorship, squad-level design ownership

Job Responsibility

Architecture & Systems Design: Design and own event-driven, micro-services architectures on GCP
Architect end-to-end RAG pipelines - ingestion, chunking, retrieval, and generation - for production workloads
Define and enforce network and access security patterns: IAP, VPC-SC, Secret Manager
Author Architecture Decision Records (ADRs) and enforce Definition of Done (DoD) standards
Trade-offs, Cost & Performance: Lead LLM selection decisions - Vertex AI vs. open-source - with structured cost-benefit framing
Optimize GenAI run costs through token budgeting, embedding cache strategies, and model tiering
Own scalability design for Cloud Run workloads, including cold-start mitigation and load-testing strategy
Translate architectural trade-offs into clear stakeholder communication
Data & Document Quality: Design source modeling strategies across Drive, GCS, and Vector Search
Define and enforce chunking strategies and Registry governance for document pipelines

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Ai Engineer - Tech Lead

We are looking for an experienced AI Engineer – Tech Lead to lead the design, de...

Location

Canada , Toronto

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with 4+ years in AI/ML
Proven experience in a Tech Lead or senior technical role
Strong Python programming skills
Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
Experience with cloud platforms (AWS, Azure, or GCP)

Job Responsibility

Lead end-to-end design and implementation of AI/ML and Generative AI solutions
Own AI system architecture including model lifecycle, pipelines, and inference services
Review code, models, and architectures to ensure quality, scalability, performance, and security
Mentor and guide AI engineers and data scientists
Define engineering best practices and MLOps standards
Design, train, fine-tune, and deploy ML, DL, and LLM-based models
Build pipelines for data ingestion, preprocessing, training, and evaluation
Implement prompt engineering, RAG pipelines, and agentic workflows
Optimize models for accuracy, latency, and cost
Architect cloud-native, scalable AI solutions

Fulltime

Ai Cyber Tech Lead

Role : AI Cyber Tech Lead Location -Sheffiled Mode-3 Days from office Type - FTE...

Location

United Kingdom , Sheffield

Salary:

60000.00 - 65000.00 GBP / Year

Randstad

Expiration Date

July 20, 2026

Requirements

Minimum 8 years experience in cybersecurity architecture technical engineering and platform security within large complex organisations Banking experience preferred
Bachelors degree in Computer Science Engineering or a related field or equivalent experience
Relevant professional certifications eg CISSP CCSP SABSA AWSAzure Security
Deep knowledge of security frameworks eg NIST ISO 27001 cloud and on-premises security and secure software development practices
Proven track record in designing and implementing security controls and solutions at scale
Strong technical expertise in areas such as network security identity management cryptography and automation
Experience leading technical teams and managing cross-functional projects
Willingness to travel as required
Excellent communication skills with the ability to influence and engage stakeholders at all levels

Job Responsibility

AI Security Drive an understanding across Tech and Cyber of security controls frameworks required for AI security working in an iterative manner as the technologies and control landscape develop Be an ambassador on AI security
Cybersecurity Architecture Lead the development and maintenance of secure architecture frameworks for cloud on-premises and hybrid environments Ensure alignment with industry standards and risk appetite with a particular focus on AI
Technical Engineering Leadership Oversee the engineering and integration of security controls across platforms including identity and access management network security endpoint protection and data security Champion automation and secure by design principles
Platform Security Drive the secure design and operation of critical technology platforms collaborating with platform owners and engineering teams to embed security throughout the lifecycle
Incident Response Threat Management Provide technical oversight for incident response threat detection and vulnerability management Lead root cause analysis and remediation of complex security incidents
Stakeholder Engagement Act as a trusted advisor to technology and business leaders translating technical risks into actionable business recommendations Present technical topics clearly to both technical and nontechnical audiences
Continuous Improvement Evaluate emerging technologies and threats recommending enhancements to security architecture and engineering practices Foster a culture of innovation and continuous learning within the team
Team Leadership Mentor and develop a high performing team of security architects and engineers Promote collaboration knowledge sharing and professional growth

Fulltime

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AI Tech Lead / AI Architect

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