Vista previa generada por IA
Global AI Engineer – Manager at BCG in Heredia, Costa Rica – lead GenAI projects in Risk & Compliance, manage LLM, MLOps, and cross‑functional teams.
Bring 7+ yrs experience in AI/ML, Python coding, GenAI product scale, and a strong MVP mindset to accelerate transformation.
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.
What You'll Do
BCG is on an ambitious and accelerated AI journey, leveraging the power of Generative AI to radically transform the speed and scale of business delivery and growth. At the heart of this transformation is a commitment to rapidly developing and deploying cutting‑edge GenAI solutions that unlock new levels of efficiency and innovation across the enterprise.
This role will drive the development of high impact prioritized Generative AI solutions within the Risk and Compliance Product Portfolio, accelerating the realization of our ambitious functional AI and GenAI vision.
Key Responsibilities
- Develop agentic AI projects as individual coding contributors (IC), from ideation to ensuring they deliver impactful insights
- Drive end-to-end design, development & deployment of Gen AI solutions at scale to deliver high-quality outcomes
- Fine-tune large language models (LLMs) to meet specific business outcomes using Agentic AI tools and monitoring.
- Extract and analyze data from various sources to inform modeling and solution development.
- Analyze large and complex datasets to extract meaningful trends, patterns, and insights
- Share expertise and perspectives on alternate approaches & tools to improve end solution
- Contribute to Full Stack development.
- Collaborate closely with data engineers, LLM engineers, Full stack AI engineers, QA, product owners and analysts to create and operationalize data & AI pipelines, ensuring compliance with data governance. security and responsible AI requirements
- Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of data-driven insights into business strategies
You're Good At
Driving rapid delivery through an MVP approach, enabling fast prototyping, iterative development, and impactful features.
Problem-solving and innovating to overcome technical challenges, learning new tools quickly, and adapting to a fast‑paced environment.
Working independently with minimal direction, showing strong initiative and drive.
What You'll Bring
- AI/ML & LLM engineering skills
- Overall 7+ years of experience in technology, software engineering or data science/ML
- 5+ years of hands‑on coding experience in python development
- 2+ years of experience in building Generative AI products at scale
- Demonstrated experience in developing Generative AI based solutions using frameworks (e.g. Langchain, Llamaindex, etc.) to build retrieval augmented generation (RAG), multi‑agent‑architecture driven solutions
- Highly curious and fast learner who is keenly keeping pace with latest and greatest happening in Gen AI and agentic AI space
- Experience in working with variety of LLM models and fine tuning
- Experience in applying MLOps/LLMOps principles to deploy, monitor models and implement automated CI/CD pipelines
- Experience with LLM evaluation frameworks, guardrails to evaluate and monitor outputs quality, control hallucinations
- Awareness of ethical AI frameworks to ensure responsible AI deployment
- Ability to work iteratively on AI/ML/Gen AI solutions to improve performance over time and in response to user feedback
- Experience in deploying solutions on a cloud platforms – AWS (preferred), Azure, GCP
- Experience with microservices & serverless architecture, API development
- An MVP mindset that emphasizes rapid prototyping and continuous improvement.
Communication, interpersonal and teaming skills
Excellent communication skills, with the ability to explain complex technical concepts to various audiences
Experience working in a fast‑paced global company, with a diverse team of both technical and functional backgrounds located in multiple time zones
Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization
Who You'll Work With
Join a dynamic, cross-functional team of professionals from diverse backgrounds. At BCG, we value drive, curiosity, and collaborative leadership. You'll tackle challenging projects that address complex business problems, working closely with sharp, analytical stakeholders who make decisions with a global outlook
Equal Opportunity Employer
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.
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