data engineer

software engineer

engine boss

equipment operator

project manager

ai engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>AI Engineer</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills
</div><ul><li> 4&ndash;8+ years of experience in software engineering, ML engineering, or AI solution development
</li></ul><ul><li> Strong proficiency in Java and experience
</li></ul><ul><li> Hands on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents
</li></ul><ul><li> Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines
</li></ul><ul><li> Experience deploying AI solutions on cloud platforms (GCP preferred; AWS/ Azure acceptable)
</li></ul><ul><li> Familiarity with Docker, Kubernetes, and CI/CD pipelines
</li></ul><ul><li> Strong problem solving, communication, and stakeholder collaboration skills</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><div>We are seeking a highly skilled Java + AI Engineer to design, build, and deploy scalable AI and Generative AI solutions that solve real business problems. The role bridges data science, software engineering, and cloud platforms to operationalize machine learning, LLM based applications, and intelligent automation across the enterprise.
</div><div>________________________________________
</div><div>Key Responsibilities
</div><ul><li> Design, develop, and deploy AI/ML and Generative AI solutions including LLM based applications, RAG pipelines, agents, and predictive models
</li></ul><ul><li> Translate business use cases into production ready AI solutions with measurable outcomes
</li></ul><ul><li> Deep knowledge in Java streams technology
</li></ul><ul><li> Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine tuning
</li></ul><ul><li> Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications
</li></ul><ul><li> Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore offshore models
</li></ul><ul><li> Implement MLOps / LLMOps practices including CI/CD, monitoring, versioning, model governance, and observability
</li></ul><ul><li> Ensure Responsible AI, security, compliance, and data privacy by design
</li></ul><ul><li> Support production deployments, performance tuning, and continuous improvement of AI systems</li></ul><br>
<div><br>
</div><div>Salary Range- $100,000-$120,000 a year
</div><div>#LI-OJ1
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Chicago, IL</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404939</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AI Engineer

Equifax

<div><p><b><i>This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
</i></b></p><p>We are looking for a strong/ driven AI Engineer to bridge the gap between theoretical data science and production-ready software. In this role, you will focus on building, testing, deploying and maintaining scalable AI solutions that solve problems. The ideal candidate is someone who can navigate the complexities of machine learning frameworks while maintaining the disciplined mindset of a software engineer.
</p><p><b>What you&rsquo;ll do
</b></p><ul><li><p>Agent Development &amp; Testing: Perform development activities focused on AI Agents, including designing prompt chains, implementing tool-calling logic (function calling), and conducting unit tests for stochastic AI outputs. Work on projects involving RAG (Retrieval-Augmented Generation) and contribution to agent frameworks.
</p></li><li><p>Performance Optimization: Participate in the estimation process for AI features. Diagnose and resolve specific AI performance issues, such as latency in LLM responses, token usage optimization, and reducing hallucination rates in agentic workflows.
</p></li><li><p>Documentation &amp; Knowledge Sharing: Document agent architectures, prompt templates, and &quot;chains of thought&quot; so that other developers can understand and iterate on the AI logic with minimal effort.
</p></li><li><p>Full-Stack AI Integration: Develop and operate scalable AI applications from the backend logic (Python/LangChain) to the API layer, focusing on security (Guardrails) and operational excellence. Ensure agents can reliably execute tasks in a production environment.
</p></li><li><p>Modern AI Practices: Apply modern software and AI engineering practices, including LLMOps, evaluation pipelines (Evals), vector database management, and standard CI/CD/Infrastructure-as-code.
</p></li><li><p>System Integration: Work across teams to integrate AI Agents with existing internal systems, Data Fabric, and third-party APIs to enable agents to perform &quot;actions&quot; rather than just generating text.
</p></li><li><p>Innovation &amp; Agile: Participate in technology roadmap discussions to turn business requirements into functional autonomous agent solutions. Collaborate within a tight-knit engineering team employing agile practices.
</p></li><li><p>Debugging &amp; Triage: Triage product issues related to unpredictable model behavior. Debug, track, and resolve issues by analyzing traces (e.g., LangSmith, Arize) to understand the root cause of agent failures or loop errors.
</p></li><li><p>Implementation: Able to write, debug, and troubleshoot code in mainstream open-source AI technologies (specifically Python). Lead efforts for Sprint deliverables and solve problems of medium complexity regarding context management and memory.
</p></li></ul><p><b>What experience you need
</b></p><ul><li><p>Bachelor's degree or equivalent experience
</p></li><li><p>2+ years of IT engineering experience
</p></li><li><p>Languages: Proficiency in Python is mandatory. Experience with JAVA is a plus.
</p></li><li><p>Frameworks: Familiarity with Agentic frameworks (e.g., ADK, LangChain, LangGraph).
</p></li><li><p>GenAI Fundamentals: Understanding of how LLMs work, including Context Windows, Temperature, Embeddings, and Vector Stores (e.g., Pinecone, Milvus, Weaviate).
</p></li><li><p>APIs: Experience building and consuming RESTful APIs (assistants interacting with software).
</p></li></ul><p><b>What could set you apart
</b></p><ul><li><p>Prompt Engineering &amp; Optimization: Advanced techniques (Chain-of-Thought, ReAct, Tree of Thoughts).
</p></li><li><p>Cognitive Architectures: Designing memory systems (short-term vs. long-term) for agents.
</p></li><li><p>AI Evaluation: Building automated test suites to grade agent performance.
</p></li><li><p>Systems Thinking: Understanding how non-deterministic AI components fit into deterministic software systems.
</p></li><li><p>Agile Engineering Best Practices.</p></li></ul></div>

LCG, Inc.

<div>
 <strong>
  Job title:
 </strong>
 Full Stack Developer / AI Engineer, Associate
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Bethesda, MD
 <br/>
 <br/>
 <strong>
  Clearance:
 </strong>
 Public Trust
 <br/>
 <br/>
 <strong>
  Sponsorship:
 </strong>
 No sponsorship assistance is available for this position.
 <br/>
 <br/>
 <strong>
  Duration:
 </strong>
 7 Months (May 2026 - December 2026)
 <br/>
 <br/>
 <strong>
  Hybrid:
 </strong>
 Minimum of 2 Days Onsite (May increase as Client needs may increase)
 <br/>
 <br/>
 <strong>
  Job Overview:
 </strong>
 LCG is seeking a Full Stack Developer / AI Engineer - Associate to support our NIH client in developing innovative AI-powered solutions using Azure OpenAI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern full stack technologies.
 <br/>
 <br/>
 This role will support an NIH client that aims to design and implement AI-driven applications that automate and enhance internal NIH business processes. The developer will design and build Generative AI applications, chatbots, and intelligent automation tools to support use cases such as compliance review, policy analysis, meeting scheduling, grant monitoring, and research reporting.
 <br/>
 <br/>
 The successful candidate will support configuration and assist with optimizing secure Azure OpenAI cloud infrastructure, design LLM-integrated applications using Python-based APIs, and enhance the existing client AI Chat Tool to improve knowledge retrieval and operational efficiency. The role involves building React-based front-end interfaces, developing FastAPI services for AI integration, and implementing vector databases to support semantic search and RAG pipelines.
 <br/>
 <br/>
 This role will work closely with client leadership, technical teams, and pilot users to prototype, deploy, and refine AI capabilities while ensuring alignment with federal IT security, governance, and change management processes.
 <br/>
 <br/>
 This position offers an opportunity to contribute to cutting-edge AI modernization initiatives at NIH, helping federal programs leverage Generative AI technologies to improve efficiency, decision-making, and operational insights.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <em>
  AI Solutions Development
 </em>
 <br/>
 <br/>
 <ul>
  <li>
   Develop and implement AI-powered applications using Azure OpenAI, LLM technologies, Retrieval-Augmented Generation (RAG) pipelines, and vector database architectures
  </li>
  <li>
   Design and build Generative AI applications, intelligent agents, and chatbot solutions that automate internal business processes and support staff workflows.
  </li>
  <li>
   Implement semantic search and document retrieval systems using vector databases to support AI-driven knowledge retrieval.
  </li>
  <li>
   Enhance and maintain the existing client AI Chat Tool, improving user experience and response accuracy through AI technologies.
  </li>
  <li>
   Develop intelligent Generative AI applications supporting use cases such as:
  </li>
  <ul>
   <li>
    Compliance verification for new policies and funding opportunities
   </li>
   <li>
    Compliance verification for new policies and funding opportunities
   </li>
   <li>
    Policy and regulatory change analysis
   </li>
   <li>
    AI-driven meeting scheduling and coordination
   </li>
   <li>
    Monitoring of grant and clinical trial activities
   </li>
   <li>
    Knowledge retrieval from internal documentation and SOP repositories
    <br/>
   </li>
  </ul>
 </ul>
 <em>
  Cloud Engineering and AI Infrastructure
 </em>
 <br/>
 <br/>
 <ul>
  <li>
   Support the configuration and enhancement of secure Azure cloud infrastructure used to host AI applications and services, including:
  </li>
  <ul>
   <li>
    Azure OpenAI services
   </li>
   <li>
    Azure Storage accounts
   </li>
   <li>
    Azure Applications and Database services
   </li>
  </ul>
  <li>
   Assist cloud and infrastructure teams with deploying AI-powered applications that leverage vector databases and RAG architectures.
  </li>
  <li>
   Work within the existing Azure OpenAI environment to integrate AI services and ensure applications function effectively within the client&rsquo;s cloud infrastructure.
  </li>
  <li>
   Collaborate with cloud engineering and security teams to ensure AI solutions align with NIH cloud governance, security policies, and infrastructure standards.
  </li>
  <li>
   Assist with documenting AI solution architecture and implementation components.
   <br/>
  </li>
 </ul>
 <em>
  Full Stack Development and Integration
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Develop full stack AI applications using React for front-end interfaces and Python-based APIs for backend services.
  </li>
  <li>
   Build RESTful APIs and AI service endpoints using FastAPI to connect LLM services with enterprise applications.
  </li>
  <li>
   Support development of RAG pipeline components integrating vector databases with enterprise data sources.
  </li>
  <li>
   Assist in developing LLM-integrated applications and APIs that connect AI services with enterprise systems.
  </li>
  <li>
   Implement data pipelines and integrations using SQL, NoSQL, and vector databases as well as external APIs.
  </li>
  <li>
   Develop backend and automation services using Python, FastAPI, and modern API frameworks.
  </li>
  <li>
   Utilize GitHub for version control, code collaboration, and maintaining source code repositories across development environments.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  AI Use Case Development and Pilot Implementation
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Collaborate with stakeholders to define, prototype, test, and deploy AI use cases.
  </li>
  <li>
   Work with client staff to assess automation opportunities and evaluate operational efficiency improvements.
  </li>
  <li>
   Support analysis of automation opportunities and document potential efficiency improvements
  </li>
  <li>
   Assist with analyzing and documenting cloud resource usage and cost considerations for AI deployments.
  </li>
  <li>
   Leverage Microsoft Power Automate to support workflow automation and integrate AI-powered processes into existing business applications.
  </li>
  <li>
   Utilize Power BI to develop dashboards and reports that visualize application performance, usage metrics, operational insights for stakeholders.
  </li>
  <li>
   Prepare and complete status reports, providing updates on development progress, milestones, risks, and pilot outcomes to client leadership and stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Testing, Documentation, and Testing
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Conduct User Acceptance Testing (UAT) with pilot users and incorporate feedback into system improvements.
  </li>
  <li>
   Develop technical documentation, including:
  </li>
  <li>
   Requirements documentation
  </li>
  <li>
   Architecture and design documents
  </li>
  <li>
   Testing plans and implementation strategies
  </li>
  <li>
   Standard operating procedures (SOPs)
  </li>
  <li>
   Create a fact sheets for Generative AI applications developed, summarizing functionality, key features, use cases, and benefit for stakeholders and end users.
  </li>
  <li>
   Develop training materials and recorded training sessions to support user adoption.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Education - Bachelor&rsquo;s degree from an accredited institution in related fields (Computer Science, Information Technology, Engineering, Mathematics, Data Science, Artificial Intelligence, etc)
 <br/>
 <br/>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <em>
  Required:
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Minimum 2 years of experience applying AI or machine learning to real-world technology solutions.
  </li>
  <li>
   Minimum 2 years of experience working with Microsoft Azure Cloud and Azure OpenAI services.
  </li>
  <li>
   Experience designing and implementing AI-powered applications using LLMs or Generative AI technologies.
  </li>
  <li>
   Experience developing RAG pipelines, AI chatbots, or intelligent automation tools.
  </li>
  <li>
   Strong programming skills in Python, with experience developing APIs using FastAPI or similar frameworks.
  </li>
  <li>
   Experience building modern front-end interfaces using React or similar JavaScript frameworks.
  </li>
  <li>
   Experience working with vector databases (Azure Databases) to support semantic search or AI retrieval workflows.
  </li>
  <li>
   Experience with data engineering technologies including SQL, NoSQL, and API integrations.
  </li>
  <li>
   Experience using GitHub for source code management, version control, pull requests, and collaborative development workflows.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience integrating LLM-based systems with enterprise applications and APIs.
  </li>
  <li>
   Experience supporting federal IT environments (NIH or HHS preferred) (nice to have)
  </li>
  <li>
   Experience implementing secure AI architectures in cloud environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Certifications (Preferred)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Microsoft Azure AI Engineer Associate
  </li>
  <li>
   Microsoft Azure Developer Associate
  </li>
  <li>
   Microsoft Azure Fundamentals (AZ-900)
  </li>
  <li>
   ITIL 4
  </li>
  <li>
   AI / Machine Learning certification
  </li>
  <li>
   Cloud architecture or DevOps certification
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong analytical thinking and problem-solving abilities
  </li>
  <li>
   Ability to translate complex technical concepts to non-technical stakeholders
  </li>
  <li>
   Excellent written and verbal communication skills
  </li>
  <li>
   Ability to manage multiple priorities in a fast-paced environment
  </li>
  <li>
   High attention to detail and commitment to quality
  </li>
  <li>
   Work independently, Self-motivated, proactive, and highly organized
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation And Benefits
  <br/>
  <br/>
 </strong>
 The projected compensation range for this position is $90,000 to $110,000 per year benchmarked in the Washington, D.C. metropolitan area. The salary range provided is a good faith estimate representative of all experience levels. Salary at LCG is determined by various factors, including but not limited to role, location, the combination of education/training, knowledge, skills, competencies, certifications, and work experience.
 <br/>
 <br/>
 LCG offers a competitive, comprehensive benefits package which includes health insurance options (medical, dental, vision), life and disability insurance, retirement plan contributions, as well as paid leave, federal holidays, professional development, and lifestyle benefits.
 <br/>
 <br/>
 <strong>
  Devoted to Fair and Inclusive Practices
  <br/>
  <br/>
 </strong>
 All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.
 <br/>
 <br/>
 If you are interested in applying for employment with LCG and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department by email at hr@lcginc.com.
 <br/>
 <br/>
 <strong>
  Securing Your Data
  <br/>
  <br/>
 </strong>
 Beware of fraudulent job offers using LCG's name. LCG will never request payment-related details or advancement of money during the application process. Legitimate communication will only come from lcginc.com or system@hirebridgemail.com emails, not free commercial services like Gmail or WhatsApp. If you receive suspicious emails asking for payment or personal information, contact us immediately at hr@lcginc.com.
 <br/>
 <br/>
 If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.
</div>


AI Engineer, Associate

InterImage

<div><b>Overview</b><p>
We have an immediate need for an Artificial Intelligence (AI) Engineer to support TO-005, Report Authoring and Dissemination (RAD). This role will work closely with system and software engineers to design, prototype, and integrate AI-driven capabilities into the existing RAD architecture&mdash;while also contributing to the design of next-generation architecture built for scalability and large data processing.</p><p>
This is a transformative opportunity to build systems from the ground up that augment human intelligence, streamline workflows, and enable data-driven decision-making across enterprise environments handling high-volume, complex datasets.</p><p></p>
Key Responsibilities<p>
AI Solution Design &amp; Development</p><ul><li>
Lead end-to-end design and development of AI/ML solutions&mdash;from concept, prototyping, and architecture design to production deployment
</li><li>Write production-grade code and contribute to scalable, maintainable software systems
</li><li>Design modular, extensible architectures that support AI integration within enterprise platforms
</li></ul><p>Software Architecture &amp; Engineering</p><ul><li>
Contribute to or lead the design of enterprise-grade software architecture from scratch, including microservices and distributed systems
</li><li>Build backend services and APIs to support AI-driven applications and data pipelines
</li><li>Ensure systems are designed for scalability, fault tolerance, and high availability
</li><li>Implement best practices in software engineering, version control, CI/CD, and testing frameworks
</li></ul><p>Data Engineering &amp; Large-Scale Processing</p><ul><li>
Design and implement data pipelines to ingest, process, and analyze large structured and unstructured datasets
</li><li>Perform Exploratory Data Analysis (EDA) to inform model design and data strategy
</li><li>Optimize data storage and retrieval for performance and scalability
</li></ul><p>Model Development &amp; Deployment</p><ul><li>
Develop, train, evaluate, and fine-tune machine learning and deep learning models
</li><li>Implement robust validation, testing, and monitoring to ensure model accuracy, fairness, and reliability
</li><li>Deploy models into production environments using MLOps best practices
</li></ul><p>Collaboration &amp; Communication</p><ul><li>
Serve as a technical liaison across engineering, data, and mission stakeholders
</li><li>Clearly communicate AI approaches, tradeoffs, and system design decisions to both technical and non-technical audiences
</li></ul><p>Continuous Innovation</p><ul><li>
Stay current with emerging AI/ML technologies, frameworks, and enterprise data solutions
</li>Identify opportunities to enhance system performance, automation, and intelligence capabilities<br>
<li>
</li></ul><p></p><br>
<br>
<br>
<b>Requirements</b><br>
<br>
Required Technical Skills<p>
Programming Languages</p><ul><li>
Strong proficiency in Python (primary for AI/ML development)
</li><li>Experience with one or more backend/system languages: Java, Go, C++, or Scala
</li><li>Familiarity with SQL and working knowledge of query optimization for large datasets
</li></ul><p>AI/ML Frameworks &amp; Tools</p><ul><li>
Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face
</li><li>Strong understanding of machine learning algorithms, deep learning, and data modeling techniques
</li></ul><p>Enterprise Software &amp; Architecture</p><ul><li>
Experience designing or contributing to scalable software architectures, including:
</li><li><ul><li>Microservices-based architecture
</li><li>Distributed systems and event-driven design
</li></ul></li><li>Experience building and consuming RESTful APIs or gRPC services
</li><li>Familiarity with containerization (Docker) and orchestration tools like Kubernetes
</li><li>Experience implementing CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, etc.)
</li></ul><p>Data Engineering &amp; Big Data Technologies</p><ul><li>
Experience working with large-scale datasets and distributed processing frameworks such as:
</li><li><ul><li>Apache Spark, Hadoop, or Flink
</li></ul></li><li>Familiarity with data streaming technologies (Kafka, Kinesis)
</li><li>Experience with databases:
</li><li><ul><li>Relational: PostgreSQL, MySQL
</li><li>NoSQL: MongoDB, Elasticsearch, DynamoDB
</li></ul></li></ul><p>Cloud &amp; MLOps</p><ul><li>
Hands-on experience with Amazon Web Services (AWS) (e.g., S3, EC2, Lambda, SageMaker)
</li><li>Experience with MLOps tools for model deployment, monitoring, and lifecycle management
</li><li>Understanding of infrastructure-as-code (Terraform, CloudFormation) is a plus
</li></ul><p></p>Preferred Qualifications<ul><li>
Experience building AI-enabled systems from the ground up in enterprise environments
</li><li>Familiarity with data governance, security, and compliance in large-scale systems
</li><li>Experience optimizing systems for performance, scalability, and cost efficiency
</li><li>Exposure to natural language processing (NLP), especially in document or report generation systems
</li><li>Experience supporting intelligence, analytics, or mission-focused platforms</li></ul><br>
<b>
Benefits</b><p></p><ul><li><br>
401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay</li><li>PTO: 20 days per year</li><li>Healthcare, dental, vision, Free for a single participant</li><li>$50,000 Life insurance provided, additional voluntary life insurance available</li></ul><p>
InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans&rsquo; Readjustment Assistance Act.</p></div><p></p>

Aspen Skiing Company

<div><b>Company Description</b><p><b><br>
ABOUT ASPEN ONE</b></p><p>
Aspen One renews the mind, body, and spirit with a portfolio that redefines luxury, adventure, and leisure. With world-class and innovative brands and businesses, including Aspen Skiing Company, Aspen Hospitality, and Aspen Ventures, Aspen One propels the expansion of the Aspen ethos globally.</p><p>
Whether it's Aspen Skiing Company providing unforgettable experiences at the confluence of nature, culture, and recreation across its four legendary mountains&mdash;Aspen Mountain, Snowmass, Aspen Highlands, and Buttermilk; or Aspen Hospitality elevating guest experiences in unforgettable ways by developing, owning, and operating a growing set of luxury and upper-scale hotels, private clubs, and branded residential properties in prime locations under The Nell and Limelight brands; Aspen One is deeply committed to providing unparalleled service, creative programming, community engagement, and unique opportunities for exploration. The company&rsquo;s commitment to innovation is central to its evolution, including Aspen Ventures' amplification of the Aspen brand globally through new business lines that embody its values and heritage such as Aspen Collection.</p><p>
For more than 75 years, the Aspen brand and community has pointed its compass toward new paths, people, and possibilities&mdash;and today, as Aspen One, the future is limitless. The company is a leader in sustainability and advocacy, with a legacy of modeling leading-edge solutions and changing policy locally and globally. As a collection of brands driven by tightly held core values, Aspen One aims to inspire a better world. For more information, visit www.aspen.com.</p><p>
Please note that all official communications from the Talent Acquisition or Human Resources team are sent from email addresses within the notifications@smartrecruiters.com, aspen.com, aspensnowmass.com, aspenhospitality.co, limelighthotels.com &amp; thelittlenell.com domains.</p><b><br>
Job Description</b><p><b><br>
Position Summary</b></p><p>
The AI Engineer designs, builds, and deploys production-grade AI solutions that drive measurable business value across Aspen One. This role is responsible for translating business needs into working AI systems which includes integrating large language models, building intelligent agents and automated workflows, connecting enterprise data sources, and standing up the reusable platform infrastructure that allows AI capabilities to scale across the organization. The AI Engineer partners closely with the Sr. Director Data and Digital Technology, the AI Program Manager, IT Systems, Digital teams, and Cybersecurity to deliver AI-powered solutions while simultaneously building the technical foundation that makes future projects faster, more secure, and more supportable. This position reports to the Senior Director, Data &amp; Digital Technology.<br>
<br>
The salary range for this position is $103,000 - $140,000. Actual pay will be dependent on budget and experience; all our salaried roles are eligible for bonus.<br>
<br>
Applications for this position will be accepted until April 7, 2026.<br>
</p><p><b>Essential Job Functions / Key Job Responsibilities</b><br>
<b><i>AI Solution Development</i></b></p><ul><li>
Design, build, and deploy AI-powered solutions using large language models, AI agents, and automation workflows, and other software development tools that address real business problems across Aspen One&rsquo;s operations and business units,, guest experience, and corporate functions</li><li>
Develop and maintain integrations between AI models (e.g., Azure OpenAI, Anthropic Claude) and enterprise systems, APIs, databases, and business workflows</li><li>
Build retrieval-augmented generation (RAG) systems, prompt engineering frameworks, and agent architectures that connect AI to proprietary data sources for accurate, grounded responses</li><li>
Develop and extend solutions within Microsoft Copilot Studio, Power Platform, and other low-code/no-code AI tools where appropriate, while building custom solutions on platforms such as Azure AI Studio when platform limitations require it</li><li>
Build AI solutions across the full platform spectrum, choosing the right platform for the job. This includes low-code tools like Microsoft Copilot Studio and Power Platform for rapid business automation, to custom-built applications using Azure, OpenAI, Azure AI Studio, Azure Functions, and frameworks like Semantic Kernel or LangChain.</li><li>
Own the full development lifecycle for AI software development projects: requirements analysis, solution design, development, testing, deployment, and post-launch monitoring and iteration</li></ul><p><b><i>
Platform &amp; Infrastructure</i></b></p><ul><li>
Build and maintain reusable platform components that make future AI projects faster and more consistent, including model orchestration layers, shared prompt libraries, authentication and access control patterns, and deployment templates</li><li>
Establish and manage the AI software development lifecycle (SDLC): development, testing, staging, and production environments with appropriate version control, CI/CD, and release processes</li><li>
Implement monitoring, logging, and quality assurance frameworks for AI solutions in production, including tracking for model performance, drift, usage patterns, and error rates</li><li>
Support model selection and orchestration decisions, evaluating different AI models and services for specific use cases based on capability, cost, latency, and data handling requirements</li><li>
Partner with Cybersecurity and IT to ensure AI platform components meet security, identity, and access control requirements, including data classification and governance standards</li></ul><p><b><i>
Data Readiness &amp; Engineering</i></b></p><ul><li>
Connect enterprise data sources to AI systems, including databases, data warehouses, APIs, and document repositories, ensuring data is structured and accessible for AI consumption</li><li>
In partnership with the data engineering team, design and build data pipelines that prepare, transform, and deliver data to AI models, with particular focus on customer data domains and operational systems</li><li>
Work with data owners and IT teams to identify data quality issues, define data requirements for AI projects, and implement data access patterns that are secure, efficient, and repeatable</li></ul><p><b><i>
Technical Partnership &amp; Collaboration</i></b></p><ul><li>
Partner with the AI Program Manager on technical scoping, feasibility assessments, effort estimates, and solution design for AI projects across the portfolio</li><li>
Collaborate with IT Systems, Digital teams, and business stakeholders to understand requirements, design solutions that integrate with existing workflows, and support user acceptance and adoption</li><li>
Contribute to security and governance reviews in partnership with Cybersecurity, including evaluating AI vendors and platforms for data handling practices, risk posture, and compliance requirements</li><li>
Provide technical guidance and support to teams exploring AI tools and solutions, including Copilot Studio users, business-led automation efforts, and the broader AI community of practice</li><li>
Other duties as assigned</li></ul><br>
<b>
Qualifications</b><p><b><br>
Education &amp; Experience Requirements</b></p><ul><li>
Bachelor&rsquo;s degree or equivalent experience in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field</li><li>
Three or more years of experience in software engineering, AI/ML development, data engineering, or a related technical role, with demonstrated experience shipping solutions to production</li><li>
One or more years of hands-on experience building with AI or machine learning technologies, including LLMs, AI agents, automation workflows, or applied ML systems</li></ul><p><b>
Knowledge, Skills &amp; Abilities</b></p><ul><li>
Demonstrated experience deploying AI or software solutions in a production environment, beyond notebooks, prototypes, and academic projects</li><li>
Experience working in or closely with enterprise IT environments, including Microsoft/Azure ecosystems, preferred</li><li>
Strong proficiency in Python, with experience writing clean, maintainable, production-quality code</li><li>
Hands-on experience with LLM APIs and AI services (e.g., Azure OpenAI, Anthropic Claude, OpenAI) including prompt engineering, function/tool calling, and model integration patterns</li><li>
Working knowledge of AI application frameworks such as LangChain, Semantic Kernel, or similar tools for building LLM-powered applications and agent workflows</li><li>
Experience with data engineering fundamentals: SQL, data pipelines, ETL processes, and working with relational databases, data warehouses, or cloud data platforms</li><li>
Familiarity with cloud platforms and services, particularly Microsoft Azure (Azure AI, Azure Functions, Azure DevOps), with the ability to architect, deploy, and manage cloud-based AI workloads</li><li>
Working knowledge of REST APIs, Git, CI/CD practices, and software development lifecycle fundamentals</li><li>
Experience with or willingness to learn Copilot Studio for low-code AI development and business process automation</li><li>
Understanding of retrieval-augmented generation (RAG), vector databases, embeddings, and semantic search patterns</li><li>
Strong problem-solving mindset with the ability to independently evaluate technical options, make pragmatic decisions, and move quickly from concept to working solution</li><li>
Ability to communicate technical concepts clearly to non-technical stakeholders and collaborate effectively with business teams, project managers, and IT partners</li><li>
Comfort with ambiguity and an entrepreneurial mindset. This is a build-from-scratch role where tools, patterns, and processes will evolve as the program matures</li><li>
Working knowledge of data privacy principles, enterprise data classification standards, and how these apply to AI model inputs, training data, and outputs</li><li>
Awareness of AI-specific security risks (e.g., prompt injection, data leakage through model outputs, pipeline integrity) and data privacy regulations applicable to the business (e.g., CCPA, state privacy laws), with an understanding of how these constrain AI system design, particularly regarding customer data use in model inputs and output.</li><li>
Ability to stay current with the rapidly evolving AI landscape for new models, tools, frameworks, and best practices. Bring informed recommendations to the Head of AI on opportunities to improve platform capabilities and project delivery</li></ul><br>
<b>
Additional Information</b><div><b><br>
Work Environment &amp; Physical Demands</b><br>
<ul><li>Ability to stand, type and sit at desk/computer for most of the work shift executing repetitive movements</li><li>No adverse or hazardous conditions</li><li>Not required, but preferred to be able to occasionally lift, push or pull 25 lbs. individually or with assistance</li></ul></div><div><b>
Job Benefits</b><br>
This position is classified as a regular full-time position eligible for the following benefits:<br>
Enrollment dates differ across the various programs.<br>
<ul><li>Health, Dental and Vision Insurance Programs</li><li>Flexible Spending Account Programs</li><li>Life Insurance Programs</li><li>Paid Time Off Programs</li><li>Paid Leave Programs</li><li>401(k) Savings Plan</li><li>Employee Ski Pass and Dependent Ski Passes</li><li>Other company perks</li></ul></div><div></div><p><i>
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. By accepting a position with Aspen One, Aspen Snowmass, Aspen Ventures or Aspen Hospitality you acknowledge that you are able to perform the essential functions of the job with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. To request accommodation during the application and interviewing process, please contact Human Resources at 970-300-7700.
</i></p><p><i>This job description is designed to indicate the general nature and level of work. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications required of employees assigned to this job. Duties and responsibilities may change at any time with or without notice.</i></p>
<p>
Aspen One is an equal opportunity employer (Minority/Female/Disabled/Veteran). At Aspen One, inclusion, equity, and diversity are fundamental to fulfilling our vision of building a better workplace and better world. From our hiring practices through the entire employee experience, we embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to the workplace. We encourage diverse points of view which allows us to develop innovative solutions to the ever-evolving world of work. Aspen One strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront of helping us promote and sustain an inclusive workplace that works for all.</p>
<p>
For an overview of Aspen One Company's benefits and other compensation visit www.aspensnowmass.com/employment/benefits-and-perks</p><br>
<p></p>
<p>
Aspen One participates in E-Verify.</p><p>
E-Verify &amp; Right to Work Poster</p></div>

<div></div><div><div><div><div><div>Role - Agentic AI Engineer
</div><div>Experience Required - 4+ Years</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills</div><br>
<div><br>
</div><div>Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
</div><div>Proficiency in Python and modern AI/ML frameworks, AWS
</div><div>Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
</div><div>Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)</div><br>
<div><br>
</div><div>Roles &amp; Responsibilities</div><br>
<div><br>
</div><div>Focus on designing, building, and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.</div><br>
<div><br>
</div><div>Key Responsibilities
</div><div>Strong technical depth, a passion for building, workstreams in a fast-paced, innovation-driven environment
</div><div>Build serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability and Runtime
</div><div>Implement and operate A2A/MCP servers on AWS; integrate with Bedrock Agents/Converse APIs
</div><div>Orchestrate multi‑agent plans with Strands Agents; deploy to EKS or Lambda
</div><div>Instrument agents with CloudWatch metrics, spans, and traces; enable audits
</div><div>Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions
</div><div>Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact</div><br>
<div><br>
</div><div>Required Skills &amp; Experience
</div><div>Strong problem-solving and strategic thinking abilities
</div><div>Strong collaboration skills in research-driven environments
</div><div>Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
</div><div>Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)
</div><div>Proficiency in Python and modern AI/ML frameworks
</div><div>Proficiency in vector databases and embedding models for retrieval tasks
</div><div>Experience with Data Connectors and API gateways that support seamless communication between systems
</div><div>Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets
</div><div>Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation
</div><div>Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
</div><div>Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms</div><div></div><div><br>
</div><div></div><br>
<div>Base Salary Range : $100,000 to $130,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refina ncing.
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Boston, MA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404955</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$130,000 a year</div></div></div></div><div></div>

Agentic AI Engineer

Vforce Infotech

<p><b>Job Overview</b><br/>We are seeking a dynamic and innovative Generative AI Engineer to join our cutting-edge technology team. In this role, you will lead the development and deployment of advanced generative artificial intelligence models that transform data into meaningful insights and creative solutions. Your expertise will drive the creation of intelligent systems capable of natural language understanding, data synthesis, and machine learning model training. This position offers an exciting opportunity to shape the future of AI-driven applications across diverse industries, leveraging state-of-the-art frameworks and cloud platforms to deliver impactful results. If you thrive in a fast-paced environment and are passionate about pushing the boundaries of AI technology, we want to hear from you!</p><p><b>Duties</b></p><ul><li>Design, develop, and optimize generative AI models utilizing frameworks such as TensorFlow and other machine learning tools.</li><li>Implement unsupervised learning techniques to enable models to discover patterns and relationships within large datasets.</li><li>Lead model training processes on cloud platforms like AWS, ensuring scalability, efficiency, and accuracy.</li><li>Collaborate with data engineers to develop ETL pipelines for data extraction, transformation, and loading from various sources including Hadoop, Spark, and SQL databases.</li><li>Conduct data mining and analysis using Python, R, SAS, and other analytics tools to enhance model performance.</li><li>Deploy AI models into production environments using best practices for model deployment and monitoring.</li><li>Work with cross-functional teams on natural language processing (NLP) projects to improve language understanding capabilities.</li><li>Design scalable database architectures and utilize linked data principles for semantic data integration.</li><li>Stay abreast of emerging trends in quantum engineering, big data analytics, and machine learning frameworks to continuously innovate solutions.</li></ul><p><b>Skills</b></p><ul><li>Proficiency in cloud computing platforms such as AWS for deploying scalable AI solutions.</li><li>Strong experience with TensorFlow and other machine learning frameworks like Spark MLlib or PyTorch.</li><li>Expertise in unsupervised learning methods including clustering, dimensionality reduction, and generative modeling.</li><li>Programming skills in Python, Java, C, Bash (Unix shell), VBA, with a solid understanding of software development best practices.</li><li>Knowledge of ETL processes using Talend or similar tools for data integration workflows.</li><li>Experience designing database schemas and working with SQL for data querying and management.</li><li>Familiarity with big data technologies such as Hadoop and Spark for large-scale data processing.</li><li>Understanding of natural language processing (NLP) techniques for language modeling and text analysis.</li><li>Ability to implement model training pipelines with a focus on accuracy, efficiency, and robustness.</li><li>Knowledge of analytics tools like Looker for visualization and insights generation from complex datasets.</li><li>Experience working with linked data principles to connect diverse datasets semantically.</li><li>Background in quantum engineering or related fields is a plus for innovative research initiatives. Join us as a Generative AI Engineer where your expertise will shape intelligent systems that inspire innovation!</li></ul><p>Pay: $60,000.00 - $80,000.00 per year</p><p>Work Location: In person</p>

Generative AI Engineer

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