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Job description:-

Position: Gen AI Engineer

Location: Irving TX

Duration: 12+ months

Job Overview

In this role, you will be responsible for translating AI strategy into tangible, production-ready capabilities that enhance operational efficiencies and drive business value. We're looking for someone who combines deep technical expertise in generative AI with a proven track record of successfully delivering complex technology projects.

Required Technical Skills

Deep knowledge of LLMs and advanced fine-tuning techniques. Proficient in Parameter-Efficient Fine-Tuning (PEFT) methods (LoRA, QLoRA, Adapter Tuning, Prefix Tuning), full fine-tuning, instruction tuning, and agentic AI techniques (RLHF, multi-task learning).

Expertise in model compression and quantization methods (AWQ, GPTQ, GPTQ-for-LLaMA). Proficiency with optimized inference engines such as vLLM, DeepSpeed, and FP6-LLM.

Adept at advanced prompt engineering techniques and best practices. Familiarity with frameworks that facilitate effective prompt design and management.

Advanced knowledge of RAG techniques, including hybrid search, multi-vector retrieval, Hypothetical Document Embeddings (HyDE), self-querying, query expansion, re-ranking, and relevance filtering.

Proficiency in TensorFlow, PyTorch, and Keras. Knowledge of distributed training, parallel processing, and extensive hands-on experience with AWS services for AI/ML.

Advanced NLP skills (NER, Dependency Parsing, Text Classification, Topic Modeling). Experience with Transfer Learning, Few-shot, and Zero-shot learning. Expertise in containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for MLOps.

Strong proficiency in data preprocessing, feature engineering, and handling large-scale datasets. Experience with real-time AI applications, streaming data, and designing RESTful APIs for model integration.

Experienced with LangGraph, Autogen, , LangChain, LlamaIndex, and Hugging Face Transformers. Familiarity with Gen AI APIs (OpenAI, Gemini, Claude) and version control systems like Git.

Knowledge of AI compliance frameworks and best practices. Experience implementing guardrails to ensure ethical AI usage and mitigate risks (e.g., Microsoft's AI Guidance Framework).

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Note: Dexian Canada will, on request, provide accommodations for disabilities to support your participation in all aspects of our Recruitment and Assessment/Selection Processes.

Job Description

NoSQL DBA with Mongo DB, Casandra, Couchbase, Elastic Search

We are seeking an experienced Database Engineer with strong expertise in MongoDB and working knowledge of additional NoSQL technologies including Elasticsearch, Cassandra, and Couchbase. The ideal candidate will be responsible for designing, implementing, and maintaining high-performance database solutions that support our enterprise applications and data infrastructure.

Primary Skills (MongoDB):

• 5+ years of hands-on experience with MongoDB in production environments

• Expert-level knowledge of MongoDB architecture, replication, and sharding

• Proven experience with MongoDB performance tuning and optimization

• Strong understanding of MongoDB Atlas and cloud-based deployments

• Proficiency in MongoDB query optimization and index design

• Experience with MongoDB backup, recovery, and disaster recovery strategies

• Knowledge of MongoDB security best practices and implementation

• Familiarity with MongoDB aggregation framework and data modeling

Secondary Skills (Nice to Have):

• 2+ years of experience with Elasticsearch for search and analytics

• Working knowledge of Cassandra for distributed database management

• Familiarity with Couchbase for caching and document storage

• Understanding of NoSQL database selection criteria and trade-offs

Technical Requirements:

• 7+ years of overall database administration and engineering experience

• Strong proficiency in scripting languages (Python, Bash, JavaScript)

• Experience with database monitoring tools and APM solutions

• Knowledge of Linux/Unix systems administration

• Understanding of containerization technologies (Docker, Kubernetes)

• Experience with CI/CD pipelines and infrastructure as code

• Familiarity with cloud platforms (AWS, Azure, or GCP)

KEY RESPONSIBILITIES

MongoDB Database Management:

• Design and implement MongoDB database architectures for scalability and high availability

• Perform capacity planning and resource optimization for MongoDB clusters

• Configure and maintain replica sets and sharded clusters

• Develop and enforce MongoDB coding standards and best practices

• Monitor database performance and implement tuning strategies

• Manage database security, including authentication, authorization, and encryption

• Execute backup and recovery procedures ensuring data integrity

• Troubleshoot complex database issues and performance bottlenecks

Multi-Database Support:

• Assist with Elasticsearch cluster configuration and index management

• Support Cassandra deployments for high-throughput workloads

• Provide guidance on Couchbase implementation for caching solutions

• Evaluate and recommend appropriate NoSQL solutions based on use cases

• Maintain documentation for all database platforms

Collaboration & Development:

• Work closely with development teams on database design and optimization

• Review database schemas and queries for performance improvements

• Participate in code reviews focusing on database interactions

• Provide technical guidance and mentorship to junior team members

Operations & Maintenance:

• Implement monitoring and alerting solutions for database health

• Perform regular maintenance tasks including patching and upgrades

• Develop disaster recovery plans and conduct failover testing

• Maintain database documentation and runbooks

• Participate in on-call rotation for production support

PREFERRED QUALIFICATIONS

• MongoDB Certified DBA or Developer certification

• Experience with data migration projects across different database platforms

• Knowledge of data modeling for both relational and NoSQL databases

• Understanding of microservices architecture

• Contributions to open-source database projects

Position Title: Manual Tester [API / SQL]

Location: Mountain View, CA (Hybrid 3 days)

Duration: 6 Months contract to hire

Interview - 2 rounds [1st Video and 2nd In-Person]

Please find complete job description below:

• 8+ hands-on years of manual testing and test automation experience (nice to have).
• Need Manual and Automation exp, candidates should be willing to start with manual testing and gradually move to automation.
• Good experience in API Testing.
• Need selenium or web driver exp.
• Solid exp is SQL queries (Advance to expert level).
• Good expertise in complex SQL queries.
• Oracle and Postgres databases.
• Nice to have experience in AWS/Azure/GCP.
• Demonstrated experience with WebDriverIO or any Selenium test frameworks or similar open-source automation framework.
• Solid understanding and experience of writing locators in selenium.
• Cucumber, Mocha, or similar BDD test scripts development experience.

Additional Preferred Skills:

• Experience with Mobile testing tools in Appium, XCUI Test, Espresso
• Experience with Docker, Kubernetes, Tomcat, Weblogic

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.

You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.

As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.

In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:

As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.

To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:

• 
  
• Technical Skills Applications Integration
  
• Cloud Computing and Cloud Computing Architecture
  
• Data Architecture Design and Modelling
  
• Data Integration and Data Quality
  
• AI/Agentic AI driven data operations
  
• Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
  
• Strong relationship management and business development skills.
  
• Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
  
• Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
  
• Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
  
• Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
  
• Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
  
• Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
  
• Establish data governance policies and practices, including data security, quality, and lifecycle management.
  
• Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
  

• 
  
• A Bachelor’s degree required in STEM
  
• 12+ years professional consulting experience in industry or in technology consulting.
  
• 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
  
• 5+ years’ experience with native cloud products and services such as Azure or GCP.
  
• 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
  
• In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
  
• Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
  
• Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
  
• Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
  
• Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
  
• Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
  
• Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
  
• Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
  
• Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
  
• Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
  
• Experience leading Infrastructure and Security engineers and architects in overall platform build.
  
• Excellent leadership, communication, and project management skills.
  
• Data Security and Database Management
  
• Enterprise Data Management and Metadata Management
  
• Ontology Design and Systems Design
  

• 
  
• Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
  
• Experience working at big 4 or a major utility.
  
• Experience with cloud data platforms like Databricks.
  
• Experience in leading and influencing teams, with a focus on mentorship and professional development.
  
• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
  
• The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
  
• Building and Managing Relationships
  
• Client Trust and Value and Commercial Astuteness
  
• Communicating With Impact and Digital Fluency
  

We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.

FY26NATAID

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• 
  
• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  
• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
  
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
  

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .

We are seeking a Senior Lead Developer to lead the development and deployment of our backend services. In this role, you will be the bridge between our PostgreSQL database and React frontend, responsible not only for writing high-performance Python code but also for architecting the CI/CD pipelines that bring our applications to life. You will ensure our integration layers are scalable, secure, and automatically deployed.

Key Responsibilities

• API & Backend Development: Design and maintain production-grade RESTful APIs using Python (FastAPI, Flask) with a focus on asynchronous processing.

• Database Engineering: Architect relational schemas and write optimized SQL in PostgreSQL, ensuring data integrity and query performance.

• React Integration: Partner with frontend teams to define API contracts, handle state-consistent data fetching, and implement secure authentication (JWT/OAuth2).

• CI/CD & Deployment: Build and manage automated deployment pipelines (e.g., Azure DevOps or Jenkins) to move code from local environments to staging and production.

• Containerization & Cloud: Package applications using Docker and manage deployments on cloud platforms or container orchestrators (Kubernetes/ECS).

• System Reliability: Implement automated testing (PyTest), logging, and monitoring to ensure high availability of integration services.

Technical Requirements

• Experience: 10+ years of professional backend development with a heavy emphasis on Python and API architecture.

• PostgreSQL Expert: Advanced SQL knowledge, including indexing strategies, migrations (Alembic/Flyway), and performance profiling.

• DevOps Tooling: Hands-on experience with Docker and building CI/CD pipelines for Python applications.

• Frontend Literacy: Solid understanding of React (Hooks, Context API) and how it consumes complex JSON structures.

• Infrastructure as Code (Bonus): Familiarity with Terraform or AWS CloudFormation is a significant plus.

The "Lead" Expectation

At the 10-year mark, we expect more than just "feature delivery." We are looking for a candidate who:

• Automates Everything: If a task is done twice, they write a script or a CI job for it.

• Designs for Failure: Implements proper error handling, retries, and health checks in the API layer.

• Collaborates Across the Stack: Can jump into a React component or a Postgres execution plan to find the root cause of a bottleneck.

About Keyfactor

Our mission is to build a connected society, rooted in trust, with identity-first security for every machine and human. Keyfactor helps organizations move fast to establish digital trust at scale - and then maintain it. With decades of cybersecurity experience, Keyfactor is trusted by more than 1,500 companiesacross the globe. We are proud to continually earn recognition as a Best Place to Work, and we achieve that through our amazing people who cultivate our culture as we grow. We hope you will trust your future with Keyfactor!

Job Title: Support Engineer, Tier 3

Location: United States; Remote, MST or PST

Experience: Senior Level

Job Function: Support

Employment Type: Full-Time

Industry: Computer and Network Security

Job Summary

The Support Engineer, Tier 3, functions as a senior individual contributor responsible for resolving the most complex and high-impact technical issues. This role provides technical leadership across the support organization, partners closely with Product and Engineering teams, and drives systemic improvements that enhance product stability, support effectiveness, and customer outcomes.

Applicants must hold US citizenship or US permanent resident status.

Job Responsibilities

Advanced Technical Resolution

• 
  
• Independently resolves critical, complex, and high-severity customer issues, including those with broad operational or customer impact.
  
• Serves as an escalation point for advanced technical issues, applying deep diagnostic expertise across multiple technical domains.
  
• Proactively identifies and addresses issues prior to customer or executive escalation.
  
• Reproduces customer issues in lab or test environments to validate root cause and confirm resolution.
  
• Builds and maintains lab environments used for advanced troubleshooting, validation, and technical enablement.
  

Subject Matter Expertise

• 
  
• Acts as a senior subject matter expert for assigned Keyfactor products, including Command and/or EJBCA.
  
• Provides expert-level guidance on PKI, cryptographic concepts, compliance considerations, and secure deployment practices.
  
• Applies broad domain knowledge to diagnose complex, non-routine issues across infrastructure, application, and security layers.
  
• Contributes technical insight related to emerging risks, architectural considerations, and support readiness.
  

Knowledge Sharing & Enablement

• 
  
• Mentors and provides technical guidance to support engineers across all tiers.
  
• Identifies knowledge gaps through case analysis and operational data and contributes to targeted training and documentation.
  
• Develops and maintains technical documentation, ensuring accuracy, clarity, and alignment with internal standards and industry best practices.
  
• Promotes consistent knowledge sharing to improve overall team capability and reduce recurring issues.
  

Systemic Improvement & Cross-Functional Collaboration

• 
  
• Identifies recurring issues and systemic deficiencies and leads efforts to implement long-term corrective actions.
  
• Partners with Product, Engineering, and Support leadership to address root causes and improve product and support processes.
  
• Provides technical input that informs product quality, platform stability, and support scalability.
  
• Represents customer impact and operational risk during cross-functional discussions and incident reviews.
  

Customer & Incident Management

• 
  
• Manages high-profile customer escalations and outages with professionalism, technical rigor, and clear communication.
  
• Communicates complex technical findings and recommendations to both technical and non-technical stakeholders.
  
• Maintains accountability for case progression, resolution quality, and documentation accuracy.
  

Minimum Qualifications, Education, and Skills

• 
  
• 3+ or more years of advanced technical support experience or demonstrated equivalent expertise in PKI or related security technologies.
  
• Demonstrated depth of expertise in one or more technical domains required to support Keyfactor products.
  
• Advanced knowledge of Windows Server and/or Linux, including IIS, ADFS, WAP, and Active Directory.
  
• Strong expertise in PKI, ADCS, certificate lifecycle management, and cryptographic principles.
  
• Proficient in SQL database analysis, including complex queries and table structure evaluation.
  
• Strong understanding of networking concepts, including firewalls, load balancers, and proxy configurations.
  
• Experience with cloud platforms such as AWS and/or Azure.
  
• Expertise in containerization and orchestration technologies (Docker, Kubernetes).
  
• Demonstrates strong verbal and written communication skills with the ability to convey complex technical information clearly and professionally.
  
• Maintains a high standard of customer focus and operational accountability.
  
• Capable of identifying root causes of complex issues and articulating clear, actionable resolutions.
  

Compensation

Salary will be commensurate with experience.

Culture, Career Opportunities and Benefits

We build teams that continually strive to get better than the day before. You will be challenged daily and given opportunities to grow personally and professionally. We balance autonomy and structure to create an entrepreneurial environment to spur creativity and new ideas.

Here are just some of the initiatives that make our culture special:

• 
  
• Second Fridays (a company-wide day off on the second Friday of every month minus November and December of 2025 due to the Holiday schedule). Please note that this benefit is subject to change.
  
• Comprehensive benefit coverage globally.
  
• Generous paid parental leave globally.
  
• Competitive time off globally.
  
• Dedicated employee-focused ambassadors via Key Contributors & Culture Committees.
  
• DIVERSE Commitment, a call to action for a more inclusive and diverse future in business, society, and technology.
  
• The Keyfactor Alliance Program to support DEIB efforts.
  
• Wellbeing resources, wellness allowance, mindfulness app free membership, Wellness Wednesdays.
  
• Global Volunteer Day, company non-profit matching, and 3 volunteer days off.
  
• Monthly Talent development and Cross Functional meetings to support professional development.
  
• Regular All Hands meetings - followed by group gatherings.
  

Our Core Values

Our core values are extremely important to how we run our business and what we look for in every team member:

Trust is paramount.

We deliver security software and solutions where trust and openness are of the highest importance for our customers. We are honest and a trusted partner in every aspect of business.

Customers are core.

We strategize, operate, and execute through a customer-centric view. We prioritize the security interests of our customers, and we act as if their data were our own.

Innovation never stops, it only accelerates.

The speed of change is accelerating. We are committed, through investment and focus, to stay ahead of the innovation curve.

We deliver with agility.

We thrive in high-paced and continually changing environments. We navigate through newly added variables, adjust accordingly, while driving towards our strategic goals.

United by respect.

Respect for all is what unites us. We promote diversity, inclusivity, equity, and acting with empathy and openness, both in our business and in our communities.

Teams make "it" happen.

Vision and goals are not individually achievable - they require teamwork. We pride ourselves in operating as a cohesive team, creating promoters and partners, and winning as one.

Keyfactor is a proud equal opportunity employer including but not limited to veterans and individuals with disabilities.

REASONABLE ACCOMMODATION: Applicants with disabilities may contact a member of Keyfactor's People team via and/or telephone at to request and arrange for accommodations at any time.

Keyfactor Privacy Notice

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

• 
  
• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

• 
  
• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

• 
  
• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

• 
  
• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.