Joining Bain & Company’s Coro unit as an Expert Consultant AI Engineer places you at the forefront of client-facing innovation, blending strategic insight with hands-on development of GenAI and ML capabilities for B2B go-to-market solutions. Based onsite in San Francisco, you will design and deploy AI-powered tools that drive measurable business outcomes while guiding clients through complex technical tradeoffs and implementation decisions.

Responsibilities

Develop AI-powered tools and products that deliver tangible business value
Design and deploy GenAI applications such as copilots, workflow automation, and decision support for commercial teams using modern LLM stacks
Implement agentic workflows with clear value, including tool use, multi-step execution, and human-in-the-loop controls, prioritizing reliability, safety, and well-defined failure modes
Architect advanced search, retrieval, and knowledge pipelines across diverse data structures and stores (hybrid search, vector stores, graph databases/knowledge graphs, and traditional data platforms), covering indexing, metadata, relevance tuning, freshness, caching, access controls, and source attribution
Build robust agent capabilities such as context engineering, memory and state management, orchestration, routing, and tool integration patterns
Integrate AI solutions into enterprise environments and workflows (APIs, data systems, collaboration tools), balancing quality, latency, cost, privacy, and adoption
Translate ambiguous client needs into clear technical requirements, tradeoffs, and delivery plans
Develop and apply data science and machine learning capabilities, delivering end-to-end ML solutions
Handle data preparation, feature engineering, model selection, training, validation and testing, and performance analysis
Apply appropriate methods across classical ML and deep learning, including sequence, text, and image models when relevant
Create reproducible training and evaluation pipelines with versioning, experiment tracking, robust validation, and documentation
Maintain fluency with modern deep learning concepts, including transformer fundamentals and distinctions between pre-training and fine-tuning approaches
Engineer for real delivery, writing clean, testable, maintainable code and shipping AI services through the full SDLC
Implement MLOps and GenAIOps practices: CI/CD, reproducibility, environment parity, model/prompt/agent versioning, and operational readiness
Build evaluation and observability for GenAI and agentic systems: tracing, instrumentation, regression tests, automated scoring, and iterative prompt/policy optimization
Design for secure enterprise deployment with access controls, auditable data handling for sensitive/PII data, and responsible AI guardrails
Create reusable components and accelerators that scale across client engagements
Thrive in a client-facing consulting environment, communicating clearly with technical and non-technical stakeholders, leading sessions, and documenting recommendations
Collaborate with Bain consultants to prioritize critical technical decisions that unlock business value
Support proposal shaping and scoping, including effort sizing, architecture options, risk assessment, and delivery roadmaps

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
3-5+ years of professional AI/ML engineering experience with strong backend fundamentals
Proficiency in Python and experience building APIs/services (REST/gRPC) and integrating with enterprise systems
Hands-on experience delivering LLM-powered applications with attention to latency, cost, reliability, and security
Experience building advanced retrieval/search systems (hybrid retrieval, vector search, reranking) and comfort across vector, graph, relational, document, and search data stores
Experience implementing agentic patterns (context management, tool integration, orchestration, memory/state handling) using modern frameworks or custom agent loops, with good judgment on when to apply agentic approaches
Experience creating reusable skills, tools, and services (including MCP) for agent use, with schema validation to enforce data contracts
Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling
Experience deploying and operating services on AWS, GCP, and/or Azure with reliable, observable, scalable deployments
Experience with Docker and Kubernetes and operating services in production (debugging, performance, resilience)
Proven ability to implement security, privacy, and governance requirements for AI systems (authentication/authorization, access controls, PII handling, enterprise risk controls)
Experience training, validating, and testing ML models; solid understanding of overfitting, generalization, and evaluation methodology
Practical experience with feature engineering and data preprocessing for real-world datasets
Familiarity with a broad set of ML algorithms and the ability to select methods that align with business and data constraints
Familiarity with deep learning frameworks (PyTorch/TensorFlow) and ML lifecycle tooling (experiment tracking, model registry, feature store concepts)
Proven ability to operate in ambiguity and complexity, manage priorities, and deliver outcomes independently or with a team
Excellent interpersonal and communication skills, able to explain technical decisions, tradeoffs, and results to mixed audiences
Strong stakeholder management skills and comfort working directly with clients

Technologies

Python
REST
gRPC
LangGraph
OpenAI Agents SDK
Pydantic AI
MCP
PyTorch
TensorFlow
AWS
GCP
Azure
Docker
Kubernetes
Vector stores
Graph databases
Knowledge graphs
Pydantic

Benefits

Bain pays 100% of individual employee premiums for medical, dental, and vision programs
Generous paid time off, including parental leave, sick leave and paid holidays
Fully vested 401(k) company contribution
Paid Life and Long-Term Disability insurance
Annual fitness reimbursements
4.5% 401(k) company contribution, increasing after 3 years of service and 100% vesting on start date

U.S. Compensation Information

Compensation for this role includes base salary, an annual discretionary performance bonus, and a 401(k) plan with company contributions and Bain’s comprehensive benefits package. The base salary range is USD 128,500 to 171,500 per year, with placement within this range varying by experience, education, and skill level. Some states require disclosure of a good-faith salary range; for Massachusetts, New York, District of Columbia, Georgia, Illinois, Texas, Washington, and California, the range is between 128,500 and 171,500 USD annually. The role may be eligible for other elements of discretionary compensation, in addition to the 4.5% 401(k) company contribution (which increases after 3 years and is 100% vested at start). Bain offers a robust benefits and wellness program, including employer-paid premiums for medical, dental, and vision, paid time off, fully vested 401(k), life and disability coverage, and fitness reimbursements. For all other locations, compensation is commensurate with competitive geographic market rates. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. Please submit your resume/CV in English to be considered for this role.

Preferred

MBA or PhD in a technical field
Background in consulting, professional services, or B2B analytics environments
Experience collaborating with major AI ecosystem partners on real client deployments

Expert Consultant, Coro, AI Engineer