Technical Architect - AI ML Job at 3Pillar Global

Technical Architect - AI ML

At 3Pillar, culture is more than a buzzword. The power of culture, teamwork, and...

Location

India

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 12+ years of industry experience in machine learning or data science, with a track record of delivering impactful projects
a Ph.D. is highly desirable
Strong grasp of AI architecture patterns (RAG, agent-based systems, prompt orchestration)
Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow)
Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning
Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines)
Familiarity with APIs, microservices, and containerization (Docker, Kubernetes)
Experience in Data Governance, Model Risk Management, and compliance
Extensive knowledge of machine learning theory, algorithms, and methodologies
Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization

Job Responsibility

Define end-to-end architecture for AI/ML and Gen AI systems including data pipelines, model training/inference, and MLOps
Serve as a strategic technical advisor to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value
Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI)
Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (OpenAI, Gemini and others) or open source models like LLama
Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar)
Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining
Evaluate build-vs-buy decisions and benchmark AI tools/platforms
Evaluate emerging technologies and trends in AI, ML, Gen AI space and recommend adoption strategies
Mentor technical teams and guide solution architects, data engineers, and ML engineers
Ensure ethical and responsible AI practices including bias detection, interpretability, and governance

What we offer

Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach
You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams
We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best
Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries
We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally

Fulltime

Ai Technical Architect

Location

United States , Auburn Hills

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

20+ years in software engineering with 5+ years focused on AI/ML systems
3+ years hands-on experience architecting and shipping production LLM and agentic AI applications
Demonstrated success leading enterprise-scale AI platform builds with measurable business outcomes
Track record architecting scalable cloud-native systems on AWS in regulated or large-enterprise environments
Experience leading technical teams, mentoring engineers, and engaging executive stakeholders
Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical field
Expert proficiency with LangGraph, LangChain, and agent orchestration frameworks
Deep experience with Amazon Bedrock, SageMaker, and Amazon Q, including Bedrock Agents and Knowledge Bases
Hands-on experience with Model Context Protocol (MCP), function calling, tool use, and structured output patterns
Strong command of prompt engineering, evaluation harnesses, fine-tuning, and model optimization

Job Responsibility

Design the enterprise AI platform architecture spanning the LLM API gateway, GPU and compute allocation pools, sandbox provisioning, model registry, and security gate automation
Define infrastructure standards, API gateway patterns, and reference architectures consumed by all AI delivery towers and partner integrations
Establish guardrails for token metering, rate limiting, audit logging, DLP validation, SAST, DAST, dependency scanning, and model card review embedded in CI/CD
Review security posture across all AI workloads with mapping to NIST AI RMF, AWS Well-Architected (including the Machine Learning Lens), and applicable enterprise compliance baselines
Architect multi-agent systems using LangGraph, LangChain, and Model Context Protocol (MCP) for complex workflow orchestration, planning, and tool use
Define patterns for ReAct, Chain-of-Thought, Tree-of-Thoughts, and agent-to-agent coordination across enterprise and customer-facing use cases
Design and optimize Retrieval-Augmented Generation (RAG) systems, embedding strategies, and semantic search across structured and unstructured enterprise data
Establish MLOps and AgentOps practices for deployment, evaluation, observability, and continuous improvement of agents and models in production
Architect solutions on Amazon Bedrock, Amazon SageMaker, Amazon Q, Bedrock Agents, and Bedrock Knowledge Bases
Define infrastructure patterns using Amazon EKS, AWS Lambda, ECS Fargate, API Gateway, EventBridge, SNS/SQS, Kinesis, S3, DynamoDB, Aurora, Redshift, Athena, OpenSearch, and Kendra

Fulltime

Senior Technical Architect – AI & Digital Engineering

Acuver Consulting looking for a Senior Technical Architect – AI & Digital Engine...

Location

India , Bengaluru

Salary:

Not provided

Acuver Consulting

Expiration Date

Until further notice

Requirements

12–14 years of relevant experience in solution architecture, enterprise application design, and cloud-native engineering, with increasing responsibility in leading cross-functional technical teams
Strong experience designing enterprise-grade applications on Java/J2EE or comparable platforms
Deep knowledge of architectural and design patterns
Experience designing cloud-native systems on AWS, Azure, or GCP
Experience building secure distributed systems
Strong experience with messaging platforms such as Kafka
Experience with modern frameworks like Spring Boot
Experience designing data architectures
Experience defining CI/CD pipelines
Experience with version control systems

Job Responsibility

Lead architecture for AI-enabled applications, including ML, GenAI, intelligent automation, and advanced analytics integrations
Translate business use cases into rapid prototypes and scalable reference architectures
Define reusable starter frameworks and solution accelerators
Partner with Data Science and AI teams to productionize models
Establish best practices for LLM/GenAI integration and observability
Develop and present end-to-end architectural blueprints
Apply modern architectural patterns to design scalable systems
Define cloud-native architectures across AWS, Azure, or GCP
Guide teams in building API-first, event-driven platforms
Evaluate and select appropriate technologies

Fulltime

Technical Staff AI Architect - Agentic AI/GenAI

Data Science is all about breaking new ground to enable businesses to answer the...

Location

Ireland , Cork

Salary:

Not provided

Dell

Expiration Date

Until further notice

Requirements

15+ years’ experience of applied science or complex software systems, especially involving deep learning, machine learning, LLMs that have been successfully delivered
Advanced experience with python, ETL pipelines (Airflow preferred), data warehousing concepts
Strong software development skills, particularly in Python, with experience working with AI frameworks and tools in cloud environments
Knowledge of ML, NLP, Information Retrieval, Recommender Systems and LLMs
Experience with container & orchestration technologies (Docker, Kubernetes etc) and cloud platforms (AWS, GCP or Azure)
Experience with training, fine-tuning, and applying large language models (LLMs) for agentic AI application
Proficiency in designing and developing multi-agent systems where multiple AI agents collaborate to achieve complex tasks

Job Responsibility

Own the full AI/ML lifecycle from prototype to deployment, ensuring the solutions are robust, scalable, and aligned with AI-product needs
Design, develop, and implement AI agents capable of autonomous decision-making and action
Stay current with the latest AI advancements and proactively apply new technologies to enhance team projects and committed to drive innovation
Be a thought leader by inspiring and driving innovation, promoting, and supporting best practices, and mentoring the development of IPs, research publications and white papers

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

Technical Architect - Business Applications

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

United States , Boston

Salary:

250000.00 - 450000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

Master's or PhD in Computer Science, Mathematics, Statistics, or a related technical field, or equivalent practical experience.
10+ years of hands-on engineering experience, with a track record of technically leading and delivering large-scale assistant or autonomous systems
Strong foundation in machine learning and statistical modeling, including clustering, classification, regression, decision trees, neural networks, SVMs, and anomaly detection, with deep understanding of supervised and unsupervised learning, feature engineering, model evaluation, bias-variance tradeoffs, and offline vs. online metrics.
Proven experience building and scaling production ML and AI systems, including LLMs, RAG architectures, embeddings, retrieval-based systems, and multi-agent or agent-based system design.
Hands-on experience designing, training, tuning, and deploying models for ranking, prediction, recommendation, forecasting, classification, or NLP use cases.
Experience with cloud platforms (AWS, Azure, Google Cloud), microservices, containerization (Docker, Kubernetes), and DevOps
Demonstrated technical leadership, including setting direction, influencing across teams, and elevating the work of other engineers.
Experience in advertising, marketplaces, e-commerce, travel, or similar data-rich, decision-driven platforms is a strong plus.

Job Responsibility

Develop and oversee technical strategy for Roku's platform that support diverse business applications.
Drive the AI-native transformation of Roku's advertising business operations, identifying high-leverage opportunities and influencing roadmap, architecture, and system design across multiple teams.
Start from the needs of internal engineers and business operators, bringing a creative and strategic approach to simplifying systems and introducing practical, high-impact solutions.
Work closely with advertising business stakeholders to identify needs, surface high-impact opportunities, and translate operational pain points into ML and agentic AI solutions.
Design and ship production ML and agentic systems end-to-end, including recommendation, personalization, ranking, forecasting, anomaly detection, and multi-agent or agent-to-agent workflows, embedded directly within product and operational systems where they drive decisions.
Apply GenAI and LLMs to create measurable value, building and scaling Retrieval Augmented Generation (RAG) pipelines, prompt orchestration, evaluation frameworks, and guardrails, with a focus on reliability and outcomes over hype.
Translate ambiguous business problems into production solutions, partnering with engineers, data scientists, product managers, and business teams to ground ML and AI work in real operational impact.
Build and operationalize evaluation loops covering precision and recall, calibration, drift detection, and human-in-the-loop systems, and define the dashboards and Service Level Objectives (SLO) that tie model performance to business outcomes.
Provide technical leadership across the broader ML and AI surface area, raising the bar for engineering rigor, mentoring engineers, and shaping how the organization thinks about AI-native systems.

What we offer

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Global access to mental health and financial wellness support and resources
Local benefits including healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

AI Architect - SAC

We are seeking a highly hands-on AI Innovation Architect to drive the exploratio...

Location

India

Salary:

Not provided

RED Commerce - The Global SAP Solutions Provider

Expiration Date

Until further notice

Requirements

Proven hands-on experience building and deploying AI/ML or GenAI solutions
Strong ability to translate business problems into scalable AI use cases
Experience with AI orchestration frameworks (e.g. MCP or similar patterns)
Track record of delivering POCs and scaling them into production
Solid understanding of enterprise data and analytics ecosystems (SAP preferred)
Strong stakeholder engagement and ability to influence technical and product direction

Job Responsibility

Lead AI exploration and rapidly prototype new use cases across analytics and planning
Design and deliver AI/ML solutions (e.g. forecasting, anomaly detection, intelligent insights)
Own the end-to-end lifecycle from POC to production deployment
Define how AI integrates with enterprise data and platforms (SAC, Datasphere, APIs)
Apply AI orchestration concepts (e.g. MCP) to enable scalable, context-aware solutions
Collaborate with SAP and internal stakeholders to shape AI roadmaps and product direction

Fulltime

Cloud Architect - AI

As the Cloud Architect, you’ll design secure, scalable cloud solutions that brin...

Location

United Kingdom , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

Excellent knowledge of Python and/or TypeScript (Java a strong plus)
Hands-on experience delivering secure, scalable cloud solutions in enterprise environments
Strong IaC experience (Terraform preferred, CloudFormation also valuable)
Solid understanding of architectural design patterns and their application to AI systems
Deep expertise in one or more of: GCP, AWS, Azure
Advocacy for high-quality engineering: automation, testing, IaC, pipeline maturity
Excellent communication and documentation skills - written, verbal, diagrammatic
Practical experience with serverless and containerised deployments
Proven ability to design and operate robust CI/CD workflows

Job Responsibility

Designing and delivering enterprise-grade AI/ML and Data Science platforms within complex cloud ecosystems
Building serverless and containerised execution environments for ML and data workloads
Developing secure, scalable patterns for cloud Infrastructure-as-Code and deployments
Defining API standards, observability strategies and architectural guardrails
Establishing and evolving CI/CD pipelines with automation at the core
Leading and mentoring cross-functional engineering and data teams
Translating business requirements into pragmatic architectural solutions
Maintaining technical alignment with product, business and customer goals
Selecting technology approaches that meet non-functional requirements while optimising cost
Continuously researching emerging technologies and best practices and applying them where beneficial

What we offer

Enhanced pension
Life assurance
Income protection
Private healthcare
Remote working
Truly flexible working hours
27 days holiday plus bank holidays
Enhanced family leave
Annual bonus
Impactful projects

Fulltime

Community Deployed Ai Architect

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innova...

Location

United States , Sunnyvale

Salary:

Not provided

JFrog

Expiration Date

Until further notice

Requirements

7-10+ years in a technical hands-on role: engineering, ML, solutions engineering, forward-deployed engineering, or similar
Hands-on experience with modern AI/ML tooling: LLMs, RAG pipelines, agentic frameworks (LangChain, LlamaIndex, AutoGen, or equivalent)
Strong Python skills
comfort with APIs, cloud infrastructure, and developer tooling
Demonstrated presence in the AI community — meetups, open-source, writing, speaking, any of it
Based in San Francisco or willing to be deeply embedded here

Job Responsibility

Field Intelligence & Ecosystem and Community Scanning
Deep Community Relationships
Technical Credibility & Hands-On Evaluation
Internal Amplification

What we offer

base salary
equity package of restricted stock units (RSU)
Employee Stock Purchase Plan
medical
dental
vision
retirement
wellness

Fulltime

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Technical Architect - AI ML

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