Generative AI Lead - Agentic AI Job at NorthBay

Agentic AI Architect

Design, develop, and implement advanced AI systems centered around autonomous ag...

Location

Poland , Warsaw

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field
8+ years of experience in AI/ML architecture
2+ years focused on autonomous systems or agent-based AI
Strong experience building and deploying GenAI applications using Microsoft Azure AI services and Google Cloud AI offerings
Hands-on development and orchestration of AI agents using Python, multi-agent frameworks, and vector DBs
Proven track record of production-grade deployments using MLOps practices on cloud-native platforms
Experience integrating LLM-based agents with enterprise systems via APIs, event-driven messaging, and secure identity/access controls
Demonstrated ability to lead cross-functional teams and scale AI solutions in mission-critical environments
Fluent proficiency in both English and Polish

Job Responsibility

Defining and evolving architectures by creating and adapting AI reference architectures for agent systems
Designing and orchestrating blueprints for multi-agent systems including orchestration, tool use, memory, and human feedback
Establishing standards and reusability by creating architecture standards and reusable components
Leading implementation by architecting robust, autonomous AI frameworks and guiding development of multi-agent systems
Productizing and deploying AI agents by overseeing their deployment and lifecycle using modern infrastructure
Utilizing advanced tools such as vector databases, agent orchestration frameworks, and RAG pipelines
Collaborating and aligning with teams to define agent behaviors and translate business needs into agent blueprints
Monitoring and optimizing by establishing continuous evaluation for agent performance, safety, and compliance

What we offer

Annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Professional development opportunities
Broad access to professional trainings including language courses, conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits
Prepaid Lunch Card
Non-working day on the 31st of December

Fulltime

Agentic AI Architect

Design, develop, and implement advanced AI systems centered around autonomous ag...

Location

Poland , Warszawa

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field
8+ years of experience in AI/ML architecture
2+ years focused on autonomous systems or agent-based AI
Strong experience building and deploying GenAI applications using Microsoft Azure AI services and Google Cloud AI offerings
Hands-on development and orchestration of AI agents using Python, multi-agent frameworks, and vector DBs
Proven track record of production-grade deployments using MLOps practices on cloud-native platforms
Experience integrating LLM-based agents with enterprise systems via APIs, event-driven messaging, and secure identity/access controls
Demonstrated ability to lead cross-functional teams and scale AI solutions in mission-critical environments
Fluent proficiency in both English and Polish

Job Responsibility

Defining and evolving architectures by creating and adapting AI reference architectures for agent systems
Designing and orchestrating blueprints for multi-agent systems including orchestration, tool use, memory, and human feedback
Establishing standards and reusability by creating architecture standards and reusable components
Leading implementation by architecting robust, autonomous AI frameworks and guiding development of multi-agent systems
Productizing and deploying AI agents by overseeing their deployment and lifecycle using modern infrastructure
Utilizing advanced tools such as vector databases, agent orchestration frameworks, and RAG pipelines
Collaborating and aligning with teams to define agent behaviors and translate business needs into agent blueprints
Monitoring and optimizing by establishing continuous evaluation for agent performance, safety, and compliance

What we offer

Annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Professional support and knowledge sharing
Ongoing development opportunities in multinational environment
Access to professional trainings, conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits
Prepaid Lunch Card

Fulltime

Senior Staff Machine Learning Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Mathematics, or a related field
Master’s or Ph.D. preferred, or equivalent professional experience
7+ years of hands-on industry experience with AI and machine learning
3+ years of experience working with LLMs in large-scale production environments
Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs
Proven leadership in designing and deploying AI solutions at scale
Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy)
Experience with distributed systems and cloud-based AI infrastructure
Strong problem-solving and strategic thinking abilities
Proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production

Job Responsibility

Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models
Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios
Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions
Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents
Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems

What we offer

Variety of medical, dental, and vision plans
Paid parental leave
Monthly Health & Wellness allowance
Work from home office stipend
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada
Base salary, equity, and a variety of benefits

Fulltime

Principal Engineering Manager - Applied AI

We are looking for a Principal Engineering Manager to join our growing Applied A...

Location

United States , Seattle

Salary:

240870.00 - 297652.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
4+ years working as an engineering manager
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming language
Substantial depth and breadth of management experience to lead and grow an Applied AI team
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle
technical designs, project planning, iterative implementation, and successful product launches

Job Responsibility

Lead a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Grow, coach, build and scale the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

Lead AI ML Engineer

We build breakthrough software products that power digital businesses. We are an...

Location

India , Noida

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

8+ years of total IT experience
At least 4+ years in AI/ML development
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
Experience with NLP libraries such as spaCy, Hugging Face Transformers
Solid understanding of AI/ML algorithms, data preprocessing, and model evaluation techniques
Hands-on experience with Generative AI, LLMs, and Agentic AI
Working knowledge of MLOps tools and CI/CD pipelines for AI model deployment
Familiarity with computer vision frameworks (OpenCV)
Excellent problem-solving and communication skills
Ability to lead and mentor junior engineers

Job Responsibility

Lead the design and implementation of AI/ML models and solutions for complex business problems
Work on NLP, LLMs, and Generative AI to build intelligent systems and conversational agents
Develop and optimize models using Python, TensorFlow, PyTorch, and Scikit-Learn
Apply deep learning and transformer-based architectures (e.g., BERT, GPT) for NLP and vision tasks
Implement computer vision solutions using OpenCV and related tools
Collaborate with cross-functional teams to integrate AI models into production systems
Apply MLOps best practices and manage CI/CD pipelines for model deployment
Stay updated with the latest AI research, LLM, and Agentic AI trends, and drive innovation across teams

Fulltime

Agentic architect

Location

India , Bengaluru

Salary:

Not provided

Randstad

Expiration Date

January 26, 2026

Requirements

Master’s degree in Computer Science, Engineering, Data Science, or a related field
18+ years of experience in enterprise architecture, solution delivery with a strong focus on ML and Gen AI technologies
Proven experience in solutioning AI-powered solutions at scale, preferably in client-facing environments
Deep understanding of Gen AI/Agentic frameworks including frameworks like Lang chain and other LLM based services including OpenAI, cloud platforms (AWS, Azure, GCP), and MLOps practices
Strong understanding of CI/CD, containerization (Docker, Kubernetes), and microservices architecture
Excellent communication, stakeholder engagement, and team leadership skill
Exposure to industry-specific Gen AI/Agentic use cases (e.g., SAP, Salesforce, Finance, Supply Chain etc.,)
Minimum 8 years of extensive experience in solutioning end to end product/assets by leveraging multiple technology components including AI/ML and Generative AI
Strong problem-solving, strategic thinking and analytical skills
Proven experience in leading large-scale AI solution deployments and managing cross-functional teams

Job Responsibility

Lead the development and implementation of enterprise-wide ML and Gen AI/Agentic architectures
Lead the end-to-end development & deployment of Gen AI/Agentic initiatives, from ideation and PoC to deployment and scaling
Identify opportunities for innovation and lead the creation of reusable Gen AI/Agentic assets, accelerators, and frameworks
Oversee the seamless deployment of Gen AI/Agentic models across platforms
Develop and implement strategies for continuous integration and delivery of AI solutions
Establish and enforce governance policies, standards, and best practices for AI architecture and deployment
Mentor and lead a technical team and architects
Collaborate with business stakeholders to translate requirements into scalable AI solutions
Act as the central point of coordination among business lines, technology teams, and clients
Identify opportunities for innovation within the AI domain

!

AI/ML Technical Lead

We build breakthrough software products that power digital businesses. We are an...

Location

India , Noida

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML development, including leading technical teams
Strong expertise in agentic AI concepts, multi-agent orchestration, and autonomous tool-using AI systems
Hands-on experience with LangChain (chains, agents, custom tools, memory, LLM orchestration)
Experience in Agentic AI
Experience in Computer Vision
Proficiency with modern LLMs (OpenAI, Anthropic, Llama, Mistral, etc.) and fine-tuning methods
Deep knowledge of Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
Experience building and deploying RAG systems using vector databases (Pinecone, Chroma, Weaviate, etc.)
Strong understanding of ML Ops, CI/CD, containerization (Docker), and cloud platforms (AWS, GCP, Azure)

Job Responsibility

Lead the design, development, and deployment of advanced AI/ML solutions, including LLM-powered applications
Architect and implement agentic AI workflows, multi-agent systems, and autonomous reasoning pipelines
Build scalable applications using LangChain, retrieval-augmented generation (RAG), vector databases, and tool integrations
Mentor and lead a team of ML engineers, data scientists, and AI developers
Collaborate with cross-functional teams (Product, Engineering, Data) to define AI strategies and roadmaps
Optimize model performance, latency, reliability, and cost efficiency
Evaluate new AI frameworks, libraries, and models for integration into the stack
Ensure best practices for code quality, ML Ops, versioning, testing, and monitoring

Fulltime

AI Engineer

In this role you will design and build intelligent, autonomous AI systems that e...

Location

United States , San Diego

Salary:

199500.00 - 299300.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
3–5+ years of experience in software architecture, backend development, or AI infrastructure
Strong Python skills and familiarity with Java, Go, and C++
Deep expertise in agent development, LLM integration, prompt engineering, runtime systems, and AI tooling
Experience with MCP servers, vector databases, RAG systems, graph-based memory, and NLP frameworks
Ability to design core agentic capabilities such as memory management, context handling, observability, and identity
Strong background in distributed systems, backend services, API design, and cloud-native deployments (AWS, Azure, GCP)
Proficiency with containerization, CI/CD pipelines, and scalable production infrastructures
Excellent communication skills, documentation habits, and ability to mentor or collaborate across teams
Passion for building safe, human-aligned, autonomous systems and extending open-source tools to innovate

Job Responsibility

Design and build intelligent, autonomous AI systems that enable Teradata to push the boundaries of enterprise-scale agentic technology
Lead the development of scalable, secure, cloud-native frameworks that allow AI agents to reason, plan, act, and collaborate in real-world production environments
Create the foundational runtime components, automation capabilities, and infrastructure that power next-generation GenAI and Agentic AI solutions
Work closely with AI researchers, platform teams, and product leadership to bring advanced agentic capabilities from concept to production across Teradata’s data and AI platform
Succeed in this role by enabling enterprise customers to leverage powerful, resilient, and safely governed AI agents that drive measurable business value

What we offer

Healthcare, life and disability insurance plans
401(k)-retirement savings plan
Time-off programs
Flexible work model
Well-being focus
Diversity, Equity, and Inclusion commitment

Fulltime

Generative AI Lead - Agentic AI

NorthBay

Location:
India

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 20, 2026

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