Applied Scientist, AWS Agentic AI Job at Amazon Pforzheim GmbH (Seattle)

Data Scientist Specialist

We are seeking a highly experienced Data Scientist Specialist with deep expertis...

Location

United States , McLean

Salary:

Not provided

Apex Systems

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in AI, Data Science, Computer Science, or related field
Extensive experience in AI/ML, including 3+ years in applied GenAI or LLM-based solutions
Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases, and multi-modal models
Proven experience with AWS cloud-native AI development (SageMaker, Bedrock, MLFlow/Kubeflow on EKS)
Strong programming skills in Python and ML/LLM libraries (Transformers, LangChain, etc.)
Strong understanding of GenAI system patterns, agentic architectures, evaluation frameworks, and guardrails
Demonstrated success working in cross-functional, agile teams
GitHub code repository link required for candidate evaluation

Job Responsibility

Architect and implement GenAI systems: Build scalable AI agents, agentic workflows, and GenAI applications for diverse business use cases
Model development & optimization: Fine-tune and optimize lightweight LLMs
evaluate and adapt models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives
RAG & GraphRAG architectures: Design and deploy Retrieval-Augmented Generation (RAG) and GraphRAG systems using vector databases and enterprise knowledge bases
Enterprise data curation: Curate and prepare enterprise data using connectors integrated with AWS Bedrock Knowledge Bases and/or Elasticsearch
Agent interoperability: Implement solutions leveraging Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication patterns
Experimentation & ML platforms: Build and maintain Jupyter-based notebooks using SageMaker, MLFlow, or Kubeflow on Kubernetes (EKS)
Cross-functional collaboration: Work with UI engineers, microservices teams, designers, and data engineers to deliver full-stack GenAI experiences
Enterprise integration: Integrate GenAI solutions with enterprise platforms via APIs and standardized GenAI architectural patterns
Evaluation & safety: Establish evaluation frameworks, bias mitigation strategies, safety protocols, and guardrails for production deployment

What we offer

medical
dental
vision
life
disability
other insurance plans
ESPP (employee stock purchase program)
401K program with company match after 12 months
HSA (Health Savings Account on the HDHP plan)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions

AI Architect

The AI Architect is responsible for designing, developing, and integrating innov...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Master's degree or engineering diploma in Computer Science, Applied Mathematics, Artificial Intelligence, or related field
Minimum 7 years of experience in designing and deploying AI solutions in enterprise environments
Mastery of AI architectures (supervised, unsupervised models, neural networks, NLP, Computer Vision, etc.)
Expertise in leading AI tools and frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, MLflow, etc.
Expertise in major LLM vendors: OpenAI, Google Gemini, Anthropic, Meta, Mistral AI, AWS Bedrock, DeepSeek, Cohere
Expertise in developing Collaborative/Swarm of AI Agents/Agentic AI system
Experience with cloud AI platforms: Azure ML, AWS SageMaker, Google AI Platform
Strong knowledge of MLOps practices, CI/CD, and model lifecycle management
Proficiency in Python, R, SQL, and collaborative development environments (Git, Docker, Kubernetes)
Deep understanding of security, compliance (NIS2, GDPR), and AI ethics

Job Responsibility

Design and document technical architectures for AI solutions (Machine Learning, Deep Learning, NLP, Computer Vision, LLM, AI Agents, etc.) considering security, scalability, costs and performance constraints
Define and drive the AI technology roadmap in collaboration with business, IT, and innovation teams
Select appropriate technologies, frameworks, and tools (TensorFlow, PyTorch, Azure ML, AWS SageMaker, Hugging Face, LangChain/Graph, N8n)
Ensure the coherence, robustness, and maintainability of deployed solutions
Participate in solutions development
Mentor and support teams of Data Scientists, Data Engineers, and AI developers
Conduct technology watch and evaluate new AI market trends
Lead the integration of AI solutions in cloud, hybrid, or on-premise environments
Implement best practices for data governance, MLOps, and model management
Ensure compliance with security standards, regulations (GDPR, NIS2), and AI ethics

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical subscription
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

New

Staff AI Engineer

We are looking for a visionary and technically deep AI Architect to lead the des...

Location

India , Pune, Maharashtra; Karnataka

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering or technology architecture
At least 4 years focused on AI, ML, and Generative AI solutions at enterprise scale
Deep hands-on expertise with Large Language Models (LLMs) including model selection, prompt engineering, fine-tuning (LoRA, PEFT), and evaluation techniques
Proven experience designing and implementing MCP servers and structured context management strategies for LLM applications
Strong working knowledge of Generative AI frameworks and orchestration tools — LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, or equivalent agentic platforms
Hands-on experience with RAG architectures, vector databases (Pinecone, Weaviate etc), and embedding models
Proficiency in Python-based AI/ML development, including libraries such as HuggingFace Transformers, PyTorch, TensorFlow, scikit-learn, and OpenAI SDK
Experience with AI cloud platforms and services — Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent enterprise AI infrastructure
Solid understanding of MLOps practices including model versioning, experiment tracking (MLflow, Weights & Biases), CI/CD for ML, and model monitoring in production
Familiarity with AI agent design patterns, multi-agent systems, tool-use frameworks, and autonomous workflow orchestration

Job Responsibility

Define and own the enterprise AI architecture strategy, establishing standards, reference architectures, and technology roadmaps for AI/ML adoption
Architect and oversee the design of LLM-powered applications including RAG pipelines, AI agents, and agentic workflow systems
Design and govern MCP server implementations, enabling structured, context-aware interactions between LLMs and enterprise data sources
Lead the evaluation and selection of AI/ML platforms, LLM providers (OpenAI, Anthropic, Azure OpenAI, Google Gemini, open-source models), and supporting infrastructure
Architect prompt engineering frameworks, fine-tuning pipelines, and model evaluation strategies to ensure LLM output quality, accuracy, and reliability
Design AI orchestration layers using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or custom agentic architectures for multi-step reasoning workflows
Establish AI data pipelines for model training, embeddings generation, vector database management, and real-time inference serving
Define and enforce responsible AI practices including bias detection, explainability, hallucination mitigation, content safety guardrails, and regulatory compliance
Collaborate with engineering leads, data scientists, and product teams to embed AI capabilities into existing platforms and new product initiatives
Mentor and upskill engineering teams on AI/ML technologies, architectural patterns, and emerging developments in the AI ecosystem

What we offer

People-first culture
Flexible work model
Focus on well-being
Inclusive environment

Fulltime

AI Engineer - Agentic Workflows - Clearance

Cognitive Space builds next-generation AI systems that help “supercharge satelli...

Location

United States , Washington, DC area, Houston

Salary:

160000.00 - 205000.00 USD / Year

Cognitive Space

Expiration Date

Until further notice

Requirements

US Citizenship
Active TS/SCI clearance preferred or must be able to obtain and maintain a TS/SCI Clearance
Preferred Security+ Certification
Bachelor’s/Master's/Ph.D. in a relevant field: Computer Science, Engineering, Applied Math, Statistics, etc.
2–5+ years of professional experience as an AI Engineer, ML Engineer, Software Engineer (Applied AI), Applied Scientist, or similar role
Strong programming skills in Python
experience with production services, APIs, and containerization (Docker/Kubernetes) is strongly preferred
Experience deploying and operating workloads on AWS (e.g., IAM, VPC, EC2, EKS/ECS, Lambda, S3, CloudWatch), including security, monitoring, and cost-aware design
Hands-on experience building LLM applications in production
Experience with ML/LLM frameworks and ecosystems (e.g., PyTorch/TensorFlow familiarity

Job Responsibility

Design and build LLM-based agents that can plan and execute multi-step workflows (task decomposition, state management, memory, and controlled autonomy)
Implement and maintain a robust tool interface layer (tool schemas/contracts, structured I/O, validation, retries, idempotency, and safe execution boundaries)
Integrate agents with internal and external systems: APIs, databases, queues, and operational services, ensuring reliable action-taking and traceability
Develop evaluation and regression testing for agent behavior (scenario suites, golden traces, automated quality gates) to reduce drift and ensure predictable performance
Establish observability for agent runs (tracing, failure analysis, latency/cost monitoring, tool-call success rates) and drive continuous improvements
Containerize and deploy agent services and decision-making capabilities for production and edge environments, as applicable
Collaborate with cross-functional teams to identify and prioritize agentic automation opportunities tied to key milestones and requirements
Implement safety and governance controls (permissions, policy checks, audit logs, and appropriate handling of sensitive data) aligned to operational constraints

What we offer

Equity in the form of options
Flexible Time-Off policy and company holidays
Cost-effective health care, dental, and vision with company contributions
401k matching plan with company match
Life insurance
Short-term and long-term disability

Fulltime

Data Scientist

As a full spectrum AWS integrator, we assist hundreds of companies to realize th...

Location

Egypt , Alexandria; Giza

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in data mining and predictive analytics with statistical modelling techniques
5+ years of experience in networking, infrastructure, or database architectures
Experienced with Python and modern ML frameworks such as SKLearn, PyTorch or TensorFlow
Proven experience in designing and deploying MCP servers or similar protocol-based integrations
Strong software engineering background (Python, Node.js, or similar languages)
Experience with AI agent frameworks (e.g., LangChain, crewAI, AutoGen, Semantic Kernel, Haystack)
Solid understanding of LLM orchestration, context management, and retrieval-augmented generation (RAG)
Knowledge of API design, microservices, and communication protocols (WebSockets, gRPC, REST)
Familiarity with containerization and deployment (Docker, Kubernetes, or serverless)
Background in cloud platforms (AWS, Azure, GCP) and MLOps workflows

Job Responsibility

Design, develop, and maintain AI Agents leveraging modern frameworks and LLM-based orchestration techniques
Build, deploy, and optimize MCP (Model Context Protocol) servers to extend agent capabilities and enable integration with external tools and APIs
Architect scalable, modular, and maintainable systems for multi-agent collaboration and tool interoperability
Implement secure and efficient communication channels between AI agents, MCP servers, and client applications
Continuously evaluate new frameworks, protocols, and libraries in the AI agent ecosystem (e.g., LangChain, AutoGen, crewAI, or custom MCP implementations)
Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL
Work with structured and unstructured data sets
Apply supervised and unsupervised machine learning techniques
Use modern ML frameworks such as SKLearn, PyTorch or TensorFlow
Perform data labelling, categorization, and structuring

Fulltime

Software Development Engineer, AI

We're using AI to transform democracy. Join GoodParty.org as a new-to-the-indust...

Location

United States

Salary:

105000.00 - 140000.00 USD / Year

GoodParty

Expiration Date

Until further notice

Requirements

Computer scientist or engineer with strong technical training and 1-3 years of experience
Demonstrated passion for LLM integration in web, mobile, and backend systems, prompt engineering, RAG workflows, and agentic AI systems
Practical experience as an intern or junior engineer using scrum and github and cloud infrastructure
Committed to responsible and ethical AI development, with awareness of model limitations, bias, and performance considerations
Effective collaborator who can work cross-functionally and communicate with both technical and non-technical audiences

Job Responsibility

Assist in the design implementation of human-in-the-loop AI applications that leverage large language models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques
Build skills with React, NextJS, DataBricks, Python, and Postgres to enhance our existing open-source products on AWS
Rapidly learn new domains and apply AI and machine learning methods to enhance campaign and civic technology products
Conduct structured experimentation to diagnose problems, validate solutions, and communicate findings effectively
Evaluate emerging AI frameworks and tools (including MCP and agentic systems) for integration into production environments

What we offer

Innovative Bitcoin denominated deferred bonus plan
Work where and how you like, on a fully remote team spread across the country
100% coverage of health, dental, and vision benefits for you and your dependents
Unlimited PTO (sick and vacation) policy
401(k) program available so you can contribute toward retirement savings (no employer match)
Individual learning & development budget to fund your growth
Workspace setup stipend
$50/month to help with your internet and other expenses if you work from home
Option for co-working

Fulltime

Senior AI Software Engineer

The Senior AI Software Engineer (Applications Development Technology Lead Analys...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems
Strong proficiency in Python, SQL
Java is a plus
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
Familiarity with large language models (LLMs) and their application in agentic systems
Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning
Experience in designing and implementing APIs for AI services
Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews
Excellent analytical and problem-solving skills with a creative approach to complex challenges

Job Responsibility

Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules
Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security
Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making
Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains
Utilize and contribute to agentic AI frameworks and development tools
Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior
Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions
Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services
Create comprehensive technical documentation for agent designs, implementations, and operational procedures
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Applied Scientist, AWS Agentic AI

Amazon Pforzheim GmbH

Location:
United States , Seattle ▼
Santa Clara
New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 26, 2026

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