Depthfirst Ai Inc Jobs in Usa

Why Zensar?

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!

QA / Quality Engineering Delivery Lead

Location: Secaucus, NJ (Hybrid – 3 days onsite)

Employment Type: Full-time / Contract

Experience: 12–15 years

Domain: Retail

Role Overview

We are seeking a QA / Quality Engineering Delivery Lead to own end-to-end quality delivery while driving QE transformation and modernization initiatives, including AI-augmented testing and intelligent automation frameworks. This role demands a tool-agnostic automation mindset, strong leadership capabilities, and the ability to balance BAU delivery with future-ready QE transformation, leveraging GPT-based testing and AI-led quality practices.

Key Responsibilities:

• Own quality outcomes across programs, releases, and product lines
• Lead day-to-day BAU QA delivery, including:
• Test planning & execution
• Defect management
• Release validation and go/no-go readiness
• Drive QE assessments and build continuous improvement & transformation roadmaps
• Define and execute modern test automation strategies across:
• UI, API, Mobile, and End-to-End (E2E) automation
• Lead AI-augmented testing initiatives, including:
• GPT/LLM-based test case generation
• Intelligent test design and risk-based testing
• Self-healing automation and test optimization
• Promote shift-left and shift-right testing by partnering with:
• Product Management
• Engineering
• DevOps and SRE teams
• Embed quality early in the SDLC through CI/CD and cloud-native testing
• Establish and track quality metrics, KPIs, and dashboards
• Provide clear visibility into quality status, risks, and dependencies for senior stakeholders
• Mentor QA/QE teams and foster a continuous improvement and innovation culture.

Required Skills & Experience

Must Have

• 10–14 years of experience in QA / Quality Engineering
• Proven leadership experience managing QA/QE teams in Agile & DevOps environments
• Strong hands-on expertise in test automation frameworks, including:
• Selenium, Playwright, Cypress (any one or more)
• Exposure to Tricentis Tosca (preferred but not mandatory)
• Solid experience in:
• API & integration testing
• Test data management
• Defect lifecycle management
• Demonstrated experience conducting:
• QE maturity assessments
• Automation ROI analysis
• QE transformation planning
• Ability to manage BAU delivery alongside modernization and innovation initiatives
• Strong Retail domain experience (POS, eCommerce, supply chain, merchandising systems preferred)

AI-Augmented & Intelligent QE (Mandatory Focus)

• Hands-on or leadership experience with AI-driven QE practices, including:
• GPT / LLM-based test case & test scenario generation
• AI-assisted exploratory testing
• Intelligent test selection, prioritization, and impact analysis
• Experience building or adopting intelligent automation frameworks with:
• Self-healing capabilities
• Dynamic locators & adaptive scripts
• Familiarity with:
• Generative AI usage in QE pipelines
• Prompt engineering for test generation
• Ability to operationalize AI in QE, not just PoCs

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.

All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.

Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at:

Location: Dallas, Texas, United States

We are looking for a senior business development leader to drive growth in the rapidly expanding AI Data Center construction and infrastructure market. This role is ideal for a strategic professional with strong industry relationships and a proven track record of winning large-scale AI / hyperscale data center projects.

The successful candidate will lead business development initiatives, build strategic partnerships, and secure high-value projects within the AI and hyperscale data center ecosystem.

Key Responsibilities

• Lead business development strategy for AI and hyperscale data center construction projects

• Identify and secure new opportunities with AI companies, hyperscalers, developers, and data center operators

• Build and maintain executive-level relationships with key stakeholders and decision-makers

• Manage the full sales lifecycle from lead generation to contract closure

• Collaborate with internal teams including engineering, construction, and project management

• Track industry trends, emerging technologies, and market opportunities in AI infrastructure

Requirements

• 10+ years of experience in business development, sales, or strategic partnerships

• Strong background in data center development, construction, or mission-critical infrastructure

• Demonstrated success in securing large-scale data center or AI infrastructure projects

• Established network with hyperscalers, AI companies, developers, or colocation providers

• Excellent leadership, negotiation, and relationship management skills

Chief of Staff – AI & Automation

Location: New York, NY (Midtown)

Work Model: Primarily in-office (4+ days per week)

Bullpen is partnering with a growing New York City real estate investment sales platform to recruit a Chief of Staff – AI & Automation to help modernize and scale the business through technology, automation, and AI-driven workflows.

This is a newly created role designed to improve operational efficiency, streamline internal systems, and help leadership implement new technologies across a high-performing brokerage team.

The position will work closely with senior leadership to identify operational bottlenecks, implement AI and automation tools, and build scalable processes that allow the business to operate more efficiently as it continues to grow.

This role is ideal for someone who enjoys building systems, implementing technology, and solving complex business problems through automation and data.

The Role

The Chief of Staff – AI & Automation will sit at the intersection of operations, technology, and strategy, helping implement systems and tools that improve how the organization operates day to day.

This individual will help streamline workflows, improve data management, and ensure new systems are successfully implemented and adopted across the team.

Key Responsibilities

• Identify opportunities to automate manual workflows and operational processes

• Implement AI tools and automation solutions across the business

• Optimize CRM systems and internal technology platforms

• Manage system integrations and external technology vendors

• Improve internal data management and reporting processes

• Partner with leadership to drive operational initiatives and technology adoption

• Help implement tools that support marketing, deal tracking, and client communication

• Ensure successful rollout and training of new systems across the organization

Ideal Candidate Profile

The ideal candidate is a builder and operator who enjoys implementing technology solutions that make businesses run more efficiently.

Candidates may come from consulting, technology, proptech, or operational roles where they have led initiatives involving automation, CRM systems, or digital transformation.

Experience working in fast-paced or entrepreneurial environments is highly valued.

Qualifications

• Approximately 7–10 years of professional experience

• Experience implementing automation, AI, or digital transformation initiatives

• Familiarity with CRM systems such as Salesforce or similar platforms

• Experience managing system implementations or technical integrations

• Strong project management and problem-solving skills

• Ability to work closely with leadership and cross-functional teams

Real estate experience is helpful but not required.

About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
• Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
• Provide input for project plans and timelines to align with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Work with cross-functional teams and ensure effective communication and collaboration.
• Provide regular updates to the management team.
• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Responsibilities

• Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
• Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
• Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
• Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
• Ensure data solutions and data sources meet quality, security, and compliance standards.
• Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
• Provide technical training, documentation, and ongoing support to end users of data automation systems.
• Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.

Qualifications

• A bachelor's degree or higher in computer science, information systems, or a related field.
• Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
• Experience with workflow orchestration tools such as Cloud Composer or Airflow
• Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
• Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
• Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
• Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
• Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
• Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
• Hands-on experience with IBM DataStage and Alteryx is a plus.
• Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
• Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
• Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
• Familiarity with data modeling tools.
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Strong knowledge and skills in data management, data quality, and data governance.
• Strong communication, collaboration, and problem-solving skills.
• Ability to work on multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

This position requires in-person office presence at least 4x a week.

Compensation and Benefits

The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.

Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.

Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

Looking for a 10+ years of experience in full stack software development, including front-end, back-end, and database technologies in Bothell, WA and its an onsite role.

• Bachelor’s degree in computer science, software engineering, or a related field preferred
• Proficiency in modern programming languages and frameworks such as Python, JavaScript, Java, Next JS, Node.js, React js
• Strong working experience with GenAI, LLM Models, MCP, Vector DB, RAG, Vertex AI, Agentic AI frameworks like NGA, ADK or LangChain/LangGraph, creating AI agents.
• Strong experience with Cloud platforms like GCP, Azure or AWS and cloud technologies like OpenStack, Terraform, Ansible or Chef
• Experience working with LLM observability, analytics, evaluations, testing and annotation using tools like LangSmith, LangFuse, Streamlit, Arize or similar tools.
• Strong experience working with AI/ML development
• Strong experience working with Databases like Cassandra, MongoDB or similar.
• Strong understanding and working experience of microservices architecture, RESTful APIs, Caching and related technologies
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes
• Proficiency in version control systems like Git, and experience with CI/CD tools such as Jenkins, GitHub, Maven, Nexus, JFrog or Sonar
• Strong experience in Unit and Function testing using Junit, Mockito/JMock, Selenium, Robot, Cucumber, SoapUI or Postman
• Strong problem-solving, analytical, and debugging skills.
• Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Demonstrated experience in mentoring and providing technical leadership to other engineers.

• Nice to have skills:
• Google CCAI platform (DialogFlow), Vertex AI, Graph QL, BigQuery, Conversation Graph, LLM as Judge

We're hiring an AI Conversation Designer

Sci-Rec are currently partnering with a fast-growing AI SaaS company transforming behavioral health.

This isn't just about building chatbots. It's about designing AI that navigates some of the most sensitive, high-stakes conversations in healthcare.

You'll be the bridge between human psychology and LLMs,crafting the voice, logic, and flow of AI agents that genuinely help people at their most vulnerable.

What you'll be doing: Designing dialogue flows for complex clinical workflows. Building the behavioral logic that keeps AI empathetic under pressure. Turning interaction data into sharper, more human conversations.

You're the right fit if you: Have 4+ years in conversation design, UX, or HCI with an LLM/agentic AI focus Obsess over the nuance of language Thrive in fast-moving, ambiguous environments Know your way around model constraints, temperature, and prompt logic

Bonus points for a background in linguistics, cognitive science, or psychology.

Early-stage. Meaningful equity. Genuinely important work.

**Federal Project - Applicant must be a United States Citizen**

Baer is looking for Platform Developer for a 12 months Federal Project located in Herndon, VA.

Title: Platform Developer

Location: Hybrid - Herndon, VA (Mon-Thur)

Duration: 12 months

Rate: All-inclusive

Alignment: W2 or C2C

Role Overview

We are looking for a skilled AI Platform Developer with experience in building and supporting AI/ML solutions. The ideal candidate should have strong programming skills, hands-on experience with machine learning frameworks, and experience deploying AI models in cloud environments.

Key Responsibilities

• Develop, test, and deploy machine learning and deep learning models.
• Build and maintain scalable AI platform components and pipelines.
• Perform data acquisition, preprocessing, feature engineering, and analysis.
• Collaborate with data scientists and engineering teams to integrate AI solutions into applications.
• Support model deployment, monitoring, and optimization using MLOps best practices.
• Work with large datasets using big data tools and distributed systems.

Required Qualifications

• 5+ years of experience in building and supporting AI/ML solutions
• Strong programming skills in Python (knowledge of R, Java, or C++ is a plus).
• Good understanding of Machine Learning and Deep Learning, including supervised, unsupervised, and reinforcement learning techniques.
• Hands-on experience with TensorFlow, PyTorch, Keras, and scikit-learn.
• Experience with data processing, SQL and NoSQL databases.
• Familiarity with Apache Spark and large-scale data processing.
• Solid foundation in mathematics and statistics (linear algebra, probability, calculus).

Company Overview:

Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.

Baer is an equal opportunity employer including disability/veteran.

ALL OPEN JOBS

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Entry Level AI Platform Architect Position

Start Your Career in Healthcare Information Technology Today!

Getting your first job can be difficult when employers want experience, but to gain that experience, you need your first job. We bridge the gap between your education and professional career by helping you gain the experience and training you need within the Healthcare Information Technology Industry.

Optimum Healthcare IT is looking for recent college graduates with an interest in moving into the Healthcare IT Industry. Our Optimum CareerPath training program will equip you with the tools needed for your success as an AI Platform Architect.

AI Platform Architect Key Responsibilities:

• Support the design and configuration of AI-driven workflows that help automate healthcare administrative and clinical processes.
• Work with internal teams and client stakeholders to understand operational challenges and translate them into scalable workflow solutions.
• Assist in building and configuring automation workflows within a healthcare AI platform.
• Help gather and document business requirements, workflow logic, and integration needs.
• Support the development of workflows that leverage healthcare data from multiple sources including EHR systems, APIs, and other integrations.
• Assist with mapping and validating healthcare data such as patient demographics, appointments, forms, and clinical documentation.
• Collaborate with integration and engineering teams to support connections between healthcare systems and automation platforms.
• Participate in workflow testing activities including unit testing, integration testing, and user acceptance testing.
• Help identify and troubleshoot issues related to data flow, workflow execution, and system integrations.
• Support project teams by preparing documentation, tracking progress, and assisting with implementation timelines.
• Help train client users on new workflows and support adoption of automation solutions.
• Communicate technical concepts and workflow designs clearly to both technical and non-technical stakeholders.

Requirements:

• Bachelor’s degree in Information Systems, Data Science, Healthcare Administration, Data Analytics, or a related field.
• US work authorization (This position is not open to any H1B /F1/ H-4 EAD OPT/STEM degrees)
• Strong analytical and problem-solving skills with the ability to understand workflows and translate business needs into technical solutions.
• Basic understanding of healthcare technology concepts such as APIs, data integrations, or electronic health record (EHR) systems preferred.
• Strong communication skills with the ability to collaborate with both technical teams and non-technical stakeholders.
• Internships or research project work are highly desired in a healthcare setting

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach | Washington

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

We Are BCG X

We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

About the AISI Fellowship 

The Boston Consulting Group’s AI Science Institute (AISI) is launching a postdoctoral fellowship program designed to empower the next generation of applied science leaders. This elite, industry-adjacent program offers PhDs and early-career scientists the opportunity to work on some of the world’s most complex and high-impact scientific problems using cutting-edge AI, in collaboration with top-tier partners across aerospace, healthcare, energy, and materials science. 

Fellows will operate at the intersection of foundational research, real-world deployment, and strategic impact, helping shape breakthrough workstreams with AISI partners. 

Unlike traditional academic or big-tech postdocs, AISI fellows work on problems where the science, the data, and the deployment context are all partially undefined. Fellows are expected not only to advance models or methods, but to shape problem formulation, data strategy, and downstream impact alongside senior scientists, engineers, and industry leaders. 

What You'll Bring

• Lead or contribute to multi-disciplinary research initiatives that apply machine learning, simulation, optimization, or GenAI to real-world scientific domains.
• Collaborate with BCG X teams and external stakeholders, including scientists, engineers, business leaders, to frame and solve complex technical problems. 
• Author internal and external research outputs, with opportunities to publish in top journals or co-develop IP with partners.
• Design reproducible, scalable workflows that translate state-of-the-art models into practical tools for discovery and experimentation. 
• Serve as a scientific ambassador across AISI projects, bringing rigor, creativity, and a passion for impact.
• Engage directly, as appropriate, with client or partner R&D teams to translate research insights into deployable solutions, with support from senior BCG X leaders. 
• Contribute to AISI priority research themes, which may include (illustrative, non-exhaustive):  
  • AI-accelerated materials discovery and optimization
  • Scientific foundation models (biology, chemistry, climate, or physical systems)
  • Simulation-augmented learning (e.g., physics-informed ML, RL + simulators)
  • Compute-enabling technologies (chip design, process optimization, algorithm–hardware co-design)
  • Quantum algorithms and hybrid classical–quantum workflows 

Who You'll Work With

Program Details

• Duration: 24 months, with possibility of transition into full-time role at BCG X.
• Mentorship: Each fellow will be paired with a senior advisor and a technical/scientific lead from BCG X and a partner institution. 
• Resources: Full access to BCG’s infrastructure, compute resources, research datasets, and partner ecosystems. 
• Compensation: Competitive salary aligned with industry postdoc benchmarks, plus support for publishing, conference travel, and IP generation. Fellows are encouraged to publish in top-tier venues unless constrained by client confidentiality or strategic IP considerations; in such cases, alternative external-facing research outputs (e.g., methods papers, open-source tools, or delayed publications) will be supported. 

What Success Looks Like

By Month 6 

• Leading or co-leading a defined AISI research workstream
• Delivering models, methods, or code integrated into an active project
• Establishing a clear publication and/or IP trajectory identified

By Month 12 

• Producing at least one external-facing research output, such as a paper, preprint, workshop, or open-source contribution. 
• Being recognized internally as a go-to contributor in a priority scientific domain.
• Actively collaborating with at least one external partner or client R&D team.

By Month 24 

• Delivering multiple high-quality research outputs and/or patented IP.
• Establishing a clear path to a permanent role at BCG X or strong placement into a top-tier industry or research position. 

Additional info

Why Join AISI?

•  Work on projects that matter from geospatial intelligence to drug discovery to next-gen material discovery. 
• Collaborate with leading researchers, product builders, and Fortune 500 clients shaping the frontier of AI-assisted scientific discovery.
• Design and explore high-upside ideas that align with your research vision and AISI’s strategic priorities.
• Help build the foundational talent model for AISI as it scales into a global scientific innovation engine.

What This Fellowship Is Not 

• A traditional academic postdoc with a single PI and a narrowly defined research agenda.
• A consulting role focused on slide production or short-term delivery.
• A pure ML engineering role detached from scientific problem-solving. 

How to Apply 

• Submit your Resume/CV and a 1–2 page statement of interest attached to it (research background, domains of interest, and why AISI) 
• Share any relevant links to publications, code, or personal projects 

You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites.

At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees – and their eligible family members. * That’s zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: 

• Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children 

• Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs 

• Dental coverage, including up to $5,000 in orthodontia benefits 

• Vision insurance with coverage for both glasses and contact lenses annually 

• Reimbursement for gym memberships and other fitness activities 

• Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan 

• Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement 

• Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) 

• Paid sick time on an as needed basis 

*Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. 

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

BCG is an E - Verify Employer. Click here for more information on E-Verify.