Expert Consultant, Coro, AI Engineer

The Expert Consultant, Coro AI Engineer will design and build AI powered tools and LLM driven features with agentic workflows, advancing Coro’s go to market data and analytics capabilities for B2B clients from initial proofs of concept to production deployments.

Responsibilities

• Develop AI powered tools and products that deliver measurable business outcomes
• Design and implement GenAI applications such as copilots, workflow automation, and decision support for commercial teams, using modern LLM stacks
• Introduce agentic workflows where they provide clear value, focusing on reliability, safety, and well defined failure modes
• Architect and build advanced search, retrieval, and knowledge pipelines across diverse data structures and stores, including hybrid search, vector stores, graph databases, knowledge graphs, and traditional data platforms
• Define indexing strategies, metadata design, relevance tuning, freshness, caching, access controls, and source attribution
• Develop robust agent capabilities including context engineering, memory and state management, orchestration, routing, and tool integration patterns
• Integrate solutions into enterprise environments and workflows via APIs, data systems, and collaboration tools while balancing quality, latency, cost, privacy, and adoption
• Translate ambiguous client needs into explicit technical requirements, tradeoffs, and delivery plans
• Deliver end to end ML solutions: data preparation, feature engineering, model selection, training, validation and testing, and performance analysis
• Apply appropriate methods spanning 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
• Demonstrate fluency with modern deep learning concepts, including transformer fundamentals and LLM pre training versus post training concepts
• Write clean, testable, maintainable code and ship AI services through the full SDLC: build, test, deploy, monitor, and iterate
• Adopt MLOps and GenAIOps practices: CI/CD, reproducibility, environment parity, model and prompt versioning, and operational readiness
• Build evaluation and observability for GenAI and agentic systems: tracing, instrumentation, regression test suites, automated scoring where appropriate, and iteration loops for prompts and policies
• Design for secure enterprise deployment with access controls, auditability, handling of sensitive data and PII, and responsible AI guardrails
• Create reusable components and accelerators such as templates, evaluation harnesses, connectors, and orchestration patterns that scale across client contexts
• Communicate clearly with technical and non technical stakeholders; lead working sessions, present recommendations, and produce precise technical documentation
• Collaborate effectively with Bain consultants to prioritize key technical decisions that unlock business value
• Support proposal shaping and scoping through 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 engineering fundamentals
• Proficiency in Python and experience building APIs / services (REST / gRPC) and integrating with enterprise systems
• Hands on experience building LLM powered applications with attention to latency, cost, reliability, and security
• Experience building advanced retrieval / search systems (hybrid retrieval, vector search, reranking) and working with multiple data stores (vector, graph, relational, document, search)
• Experience implementing agentic patterns (context management, tool integration, orchestration, memory/state handling) with modern frameworks (LangGraph, OpenAI Agents SDK, Pydantic AI) or custom agent loops
• Experience creating reusable skills, tools, and services for agent use with schema validation (e.g., Pydantic) to enforce reliable data contracts
• Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling
• Experience deploying and operating services on AWS, GCP, or Azure with emphasis on reliability and observability
• Experience with Docker and Kubernetes and operating production services including debugging and resilience
• Proven ability to implement security, privacy, and governance requirements for AI systems including authentication/authorization and handling of PII
• Experience training, validating, and testing ML models with 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 (classical and deep learning) and ability to align methods 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 to mixed audiences
• Strong stakeholder management; comfort working directly with clients
• 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

Technologies

• Python
• REST
• gRPC
• LangGraph
• OpenAI Agents SDK
• Pydantic AI
• MCP
• Docker
• Kubernetes
• AWS
• GCP
• Azure
• Vector stores
• Graph databases
• Knowledge graphs
• PyTorch
• TensorFlow
• Experiment tracking
• Model registry
• Feature store concepts

Benefits

• Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck
• 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

U S Compensation Information

• Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits package
• Some local governments in the United States require a good faith, reasonable salary range to be included in job postings. The estimated annualized compensation for this role is as follows
• In Massachusetts, New York, District of Columbia, Georgia, Illinois, Texas, Washington, and California, the good faith range is between $128,500-$171,500; placement within this range varies by experience, education, certifications, training, and skill level
• Annual discretionary performance bonus
• This role may be eligible for additional discretionary compensation
• 4.5% 401(k) company contribution, increasing after 3 years of service and 100% vested upon start date
• Bain and its benefits and wellness program support personal independence, protection and family stability
• Bain pays 100% 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
• For all other locations, the good faith annualized salary range is commensurate with competitive local market rates
• It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment
• Please submit your resume/CV in English to be considered for this role

Visible Links

• Bain Awards and Recognition
• Coro