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Bain & Company

Bain & Company is a global consultancy that partners with ambitious change makers to define the future. Operating in 65 cities across 40 countries, they work collaboratively with clients to achieve extraordinary results, outperform competitors, and redefine industries. Their expertise is complemented by a vibrant ecosystem of digital innovators, ensuring better, faster, and more enduring outcomes. Bain is committed to investing in pro bono services and has received a platinum rating from EcoVadis for its environmental, social, and ethical performance.

WHAT MAKES US A GREAT PLACE TO WORK
 
We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
 
WHO YOU’LL WORK WITH
 
Bain & Company is looking to recruit an Expert Associate Partner to build upon the firm’s Performance Improvement capabilities with a specific focus on Capital Projects Acceleration solutions.
 
The global economy must invest over $1.5T annually to succeed in the energy transition, though only a small fraction of projects are consistently delivered safely, on time, on budget, and on spec. Across sectors, delivering capital projects is also getting harder - there are new complexities compounding existing challenges.
 
Bain’s Capital Projects Acceleration offering helps clients set a clear ambition for capital projects, ensure their readiness to embark on a large-scale capital campaign, and enhance and protect the value of their large capital projects. Our goal is to enable clients to achieve excellence across the Capital Projects spectrum, from ambition and portfolio decisions, to operating mode design, planning, and delivery.
 
Bain’s Capital Projects Acceleration brings together expertise from across different industries including Mining, Oil & Gas, Utilities & Renewables, Aerospace & Defense and Metals, and has a unique approach to Capital Projects:
 <ul>
<li>Recognizing that capital project challenges go beyond engineering, framing them as strategic issues</li>
<li>Applying a programmatic approach, looking not only at individual projects but also at the program and portfolio levels</li>
<li>Taking a "whole of company" view, including all critical functions - not only those with direct ownership of capital development and delivery</li>
<li>Amplifying our client teams’ capabilities by bringing together expertise from different industries</li>
</ul>
WHAT YOU’LL DO
 
Client Impact
 
You’ll primarily work alongside our case (engagement) teams in a client-serving role, partnering with client organizations, engage prospective clients and help build our commercial plan to help us increase our competitiveness as Capital Projects Acceleration solutions experts
 <ul>
<li>Benchmark client processes, costs, organization, adoption of technologies against other companies</li>
<li>Interview and facilitate workshops with client employees, management teams and other stakeholders</li>
<li>Support clients in conducting pilots / proof of concepts for select solutions</li>
<li>Move the client to action and build relationships with clients, calling on Performance Improvement practice expertise</li>
<li>Support collaboration and co-creation with senior, mid-level and junior clients and maintain client relationships over time</li>
<li>Lead a work-stream and direct team resources accountable for a subset of the engagement answer and deliverables</li>
<li>Identify, validate and prioritize potential client development opportunities</li>
<li>Codify/recommend the best tools for each "use case" with an understanding of cost, timeline, resources, etc.</li>
<li>Attend/lead client updates and presentations highlighting your expertise and experience</li>
<li>Create and launch specific tools and products to drive Capital Projects Acceleration solutions with our client organizations</li>
<li>Actively bolster our thought leadership in Capital Projects Acceleration solution - creating high impact and differentiating blog posts, articles, media and other original ideas - to create demand for Bain’s Capital Projects Acceleration services with clients</li>
<li>Develop productive senior level advisory relationships with mid to senior-level executives and ability to maintain client assets and client relationships over extended period, as an integral member of the Bain account team with differentiated expertise and capability</li>
<li>Support the selling team with demand generation where applicable</li>
</ul>
Practice Impact-Expertise, Product, and IP
 <ul>
<li>Develop a repeatable model for embedding your expertise within casework; become a go-to expert internally</li>
<li>Expand Bain’s Capital Projects Acceleration offering to support a broader range of client projects through the hiring of external talent, development of current team members and rotation of internal resources</li>
<li>Identify and potentially manage key expert partnerships • Develop project plans, including key activities, milestones, and timelines, to translate identified capital project solutions into plans that can be executed</li>
<li>Drive continuous improvement and commercialization of our IP, products, and solutions</li>
<li>Design global training sessions that build consultant fluency with Capital Projects Acceleration offering and Performance Improvement trends and capabilities</li>
</ul>
People/Firm Impact
 <ul>
<li>Typically staffed as an expert contributor/advisor, bringing expertise to supplement/complement the case team. May be staffed as traditional project lead on engagements where appropriate</li>
<li>Communicate effectively with partner and case team concerning the work, the client relationship, and team professional development</li>
<li>Support teams through a combination of formal and informal allocations with deep guidance from Case Leadership</li>
<li>Help maintain a non-hierarchical culture that attracts and breeds entrepreneurship and innovation; help position the Practice - and Bain more broadly - as a "great place to work"</li>
</ul>
ABOUT YOU
 
Required Technical Expertise
 <ul>
<li>Deep Expertise in managing large complex capital across app major value levers, including program assurance, capital efficiency, project governance, project value engineering anc. cost optimization, vendor contracting and management, procurement and supply chain/demand planning, risk management, schedule optimization, front line performance management, and delivery acceleration across major infrastructure, industrial or energy projects</li>
<li>Proven experience working with C-suite stakeholders and senior engineering or construction leadership on complex project portfolios and performance improvement initiatives</li>
<li>Strong understanding of the end-to-end capital project lifecycle, from front-end planning and budgeting through engineering, procurement, construction, commissioning, and handover</li>
<li>Experience with leading digital tools and technologies applied to capital project delivery, including project management platforms, predictive analytics, AI-based capital project tools, and advanced planning and scheduling software</li>
<li>Knowledge of emerging trends and innovations in capital project delivery</li>
<li>Experience deploying or piloting technology solutions for project performance optimization</li>
<li>Exposure to benchmarking and best practices across capital project-heavy industries and ability to translate those insights to a client-specific context</li>
<li>Understanding of adjacent corporate functions (e.g., Finance, Procurement, Supply Chain) and their intersection with capital project governance and execution</li>
</ul>
Required Commercial Acumen
 <ul>
<li>Experience and technical expertise will lend credibility when providing input and support to commercial activities</li>
<li>Senior presence in meetings and high caliber client/communications skills.</li>
<li>Broad understanding of business strategy, organization and capability development issues and answers across industry and functional domains</li>
<li>Experience working with large-scale clients and finance organizations preferred</li>
<li>Ability to help build out IP and monetize it, and build the product roadmap to improve over time. Specifically, be able to guide development of tools to help increase our ability to be seen as Capital Projects Acceleration specialists</li>
<li>Ability to leverage insights across a diverse set of industries</li>
</ul>
Additional qualifications
 <ul>
<li>Provide insight on how to "scale up" the right team and partners to provide depth and credibility with senior client teams</li>
<li>Experience in a senior client-facing leadership role with a leading consulting firm is preferred</li>
<li>Has experience conducting client workshops and driving buy-in at multiple levels of the organization from junior to senior clients to create change.</li>
<li>Bachelor’s or advanced degree in engineering or related technical field is a plus, but not mandatory; deep expertise in capital project execution and transformation is most important</li>
</ul>
Personal Attributes
 
Irrespective of an individual’s specific background, the successful candidate will be:
 <ul>
<li>Entrepreneurial, proactive, and productive; someone who instinctively knows what needs to be done and rallies colleagues to get things accomplished; "rolls up the sleeves" and gets things done</li>
<li>Bright - both insightful and creative, with strong problem-solving skills and pragmatic, with a practical, "real-world" sense of what is actually "do-able". Possesses an affinity for data-driven insights to making decisions and creating a track record of demonstrable results</li>
<li>Articulate and compelling in his/her oral and written communication skills; engaging and concise - with interpersonal "presence"; adaptable across executive, technical and Bain audiences</li>
<li>Energetic, with drive, enthusiasm, and natural skills in relationship development; well-connected, with an extensive network of potentially relevant relationships</li>
<li>Pragmatic with a practical, "real-world" sense of what is actually "do-able." Will have a bias to approach problem solving in a structured way, and combining it with sound practical business judgment to arrive at realistic solutions</li>
<li>Able to forge strong people relationships at all levels</li>
<li>A solid team player who's also an independent thinker</li>
<li>A great colleague and teammate; passionate about the task at hand and fun to be around</li>
<li>Able to self-manage time, balance across competing demands</li>
</ul>

Lead, Software Engineering

<div>Please submit your resume/CV in English to be considered for this role.
WHAT MAKES US A GREAT PLACE TO WORK
We are proud to be consistently recognized as one of the world&rsquo;s best places to work. We are currently the top ranked consulting firm on Glassdoor Best Place to Work list and have earned the #1 overall spot a record seven times.
Extraordinary teams are at the heart of our business strategy, but these don&rsquo;t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
WHO YOU&rsquo;LL WORK WITH
About the Commercial Excellence practice
 
Bain&rsquo;s B2B Commercial Excellence practice works with clients to develop a clear go-to-market (GTM) strategy: building an in-depth understanding of market opportunity, designing effective sales coverage and capacity models to attack that opportunity, and creating an industrialized sales execution capability to ensure commercial success. Coro&rsquo;s software and data solutions are an innovative and increasingly critical part of this approach. To learn more about Coro, visit https://www.coro.io/.
WHERE YOU&rsquo;LL FIT WITHIN THE TEAM
About Coro℠
 
The Coro ℠ business unit brings together Bain&rsquo;s proprietary suite of software-as-a-service (SaaS) and data-as-a-service (DaaS) tools, including cloud-based software, online capability assessments, and advanced analytics, focused on enabling Commercial Excellence for B2B companies.
 
 
The Impact You'll Have
 
Bain&rsquo;s Commercial Excellence work helps B2B companies turn market opportunity into booked revenue, through sharper go-to-market strategy, better sales coverage and capacity, and industrialized execution.
We are hiring an AI Engineer to join the Coro team and help build the next generation of Coro&rsquo;s products: cutting-edge software and data tools infused with AI and agentic capabilities. Working across rapid proofs of concept (POCs), MVPs, and, where appropriate, scaled production deployments, you will design and implement LLM-driven features and agentic workflows that use tools, data, and enterprise systems to execute multi-step tasks reliably and safely, turning raw, heterogeneous client data into the structured analytics and synthesized outputs that case teams rely on in live engagements.
These capabilities power Coro&rsquo;s product suite, such as MoneyMap&trade;, which builds a granular, bottoms-up view of market opportunity, and the repeatable analytics workflows behind Bain&rsquo;s B2B go-to-market work, across challenges such as opportunity mapping, indirect channel growth, and profitability analysis.
While GenAI and agentic AI are the primary focus, you will also draw on data science and ML engineering skills as needed, including building evaluation approaches, working with data pipelines, and developing or integrating ML models when they materially improve performance or reliability.
You will have opportunities to work with major AI ecosystem partners through Bain&rsquo;s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in commercial settings. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time, in keeping with Bain&rsquo;s apprenticeship model. 
WHAT YOU&rsquo;LL DO
Build AI-powered tools and products that drive real business outcomes
<div><ul><li>Design and develop GenAI applications (e.g., copilots, workflow automation, decision support for commercial teams) using modern LLM stacks.</li>
<li>Implement agentic workflows where they add clear value (e.g., tool use, multi-step execution, human-in-the-loop controls), with attention to reliability, safety, and clear failure modes.</li>
<li>Design and build advanced search, retrieval, and knowledge pipelines across diverse data structures and stores (e.g., hybrid search, vector stores, graph databases / knowledge graphs, and traditional data platforms), covering indexing strategies, metadata design, relevance tuning / reranking, freshness, caching, access controls, and source attribution.</li>
<li>Build robust agent capabilities including context engineering, memory and state management (short-term and long-term), orchestration, routing, and tool integration patterns.</li>
<li>Integrate solutions into enterprise environments and workflows (APIs, data systems, collaboration tools), balancing quality, latency, cost, privacy, and adoption.</li>
<li>Translate ambiguous client needs into clear technical requirements, tradeoffs, and delivery plans.</li>
</ul></div>Build and apply data science and machine learning capabilities
<div><ul><li>Build ML solutions end-to-end: data preparation, feature engineering, model selection, training, validation and testing, and performance analysis.</li>
<li>Apply the right methods for the problem, spanning classical ML and deep learning (including sequence, text, and image models when relevant).</li>
<li>Create reproducible training and evaluation pipelines (versioning, experiment tracking, robust validation, clear documentation).</li>
<li>Demonstrate fluency with modern deep learning concepts, including transformer fundamentals and LLM pre-training versus post-training concepts (e.g., instruction tuning and preference optimization approaches).</li>
</ul></div>Engineer for real delivery
<div><ul><li>Write clean, testable, maintainable code and ship AI services through the full SDLC: build, test, deploy, monitor, and iterate.</li>
<li>Implement MLOps and GenAIOps practices: CI / CD, reproducibility, environment parity, model / prompt / agent versioning, and operational readiness.</li>
<li>Build evaluation and observability for GenAI and agentic systems: tracing and instrumentation, regression test suites, automated scoring where appropriate, and iteration loops for prompt and policy optimization.</li>
<li>Design for secure enterprise deployment: access controls, auditability, data handling for sensitive and PII data, and responsible AI guardrails.</li>
<li>Build reusable components and accelerators (templates, evaluation harnesses, connectors, orchestration patterns) that scale across client contexts.</li>
</ul></div>Thrive in a client-facing consulting environment
<div><ul><li>Communicate clearly with technical and non-technical stakeholders; lead working sessions, present recommendations, and write crisp technical documentation.</li>
<li>Work effectively with Bain consultants to prioritize the critical few technical decisions that unlock business value.</li>
</ul></div>Support proposal shaping and scoping: effort sizing, architecture options, risk assessment, and delivery roadmaps. 
ABOUT YOU
Core engineering and AI application skills
<div><ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
<li>3&ndash;5+ years of professional AI / ML engineering experience (or equivalent), with strong backend engineering fundamentals.</li>
<li>Strong proficiency in Python and experience building APIs / services (e.g., REST / gRPC) and integrating with enterprise systems.</li>
<li>Hands-on experience building LLM-powered applications with delivery considerations (latency, cost, reliability, security).</li>
<li>Experience building advanced retrieval / search systems (e.g., hybrid retrieval, vector search, reranking), and comfort working across multiple data stores (vector, graph, relational / document / search).</li>
<li>Experience implementing agentic patterns (context management, tool integration, orchestration, and memory / state handling), with modern frameworks (e.g., LangGraph, OpenAI Agents SDK, Pydantic AI) or custom agent loops, and strong judgment about when agentic approaches are, and are not, appropriate.</li>
<li>Experience creating reusable skills, tools, and services (including MCP) for agent use, with schema validation (e.g., Pydantic) to enforce reliable data contracts.</li>
<li>Strong engineering practices: testing, code review, version control, CI / CD, and performance profiling.</li>
</ul></div>Cloud, platform, and production delivery experience
<div><ul><li>Experience deploying and operating services on AWS, GCP, and / or Azure (environment management, reliability, observability, scaling).</li>
<li>Experience with Docker and Kubernetes (or equivalent orchestration) and operating services in production (debugging, performance, resilience).</li>
<li>Proven ability to implement security, privacy, and governance requirements for AI systems (authentication / authorization, access controls, PII / sensitive data handling, enterprise risk controls).</li>
</ul></div>Breadth of knowledge across data science and machine learning
<div><ul><li>Experience training, validating, and testing ML models; strong understanding of overfitting, generalization, and evaluation methodology.</li>
<li>Practical experience with feature engineering and data preprocessing for real-world datasets.</li>
<li>Familiarity with a broad set of ML algorithms (classical ML and deep learning), and the ability to choose methods that match the business and data constraints.</li>
<li>Familiarity with deep learning frameworks (e.g., PyTorch / TensorFlow) and ML lifecycle tooling (e.g., experiment tracking, model registry, feature store concepts).</li>
</ul></div>Delivery mindset and consulting skills
<div><ul><li>Proven ability to operate in ambiguity and complexity, manage priorities, and deliver outcomes independently or with a collaborative team.</li>
<li>Excellent interpersonal and communication skills, able to explain technical decisions, tradeoffs, and results to mixed audiences.</li>
<li>Strong stakeholder management skills; comfort working directly with clients.</li>
</ul></div>Preferred
<div><ul><li>MBA, or PhD in a technical field.</li>
<li>Background in consulting, professional services, or B2B analytics environments.</li>
<li>Experience working with major AI ecosystem partners on real client deployments.</li>
</ul></div>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&rsquo;s best in class benefits package (details listed below).
Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows:
<ul><li>In Massachusetts, New York, District of Columbia, Georgia, Illinois, Texas, Washington, and California, the good-faith, reasonable annualized full-time salary range for this role is between $128,500-$171,500; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level</li></ul>
<ul><li>Annual discretionary performance bonus</li></ul>
<ul><li>This role may also be eligible for other elements of discretionary compensation</li></ul>
<ul><li>4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date</li></ul>
Bain &amp; Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.
<ul><li>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</li></ul>
<ul><li>Generous paid time off, including parental leave, sick leave and paid holidays</li></ul>
<ul><li>Fully vested 401(k) company contribution</li></ul>
<ul><li>Paid Life and Long-Term Disability insurance</li></ul>
<ul><li>Annual fitness reimbursements</li></ul>
For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Please submit your resume/CV in English to be considered for this role.</div>

Expert Consultant, Coro, AI Engineer

Join Bain & Company and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Bain & Company

About Company

Expert Associate Partner, Capital Projects Acceleration

Lead, Software Engineering

Expert Consultant, Coro, AI Engineer