Your Team ResponsibilitiesYour Team Responsibilities- Build and lead a high-performing team focused on developing scalable conversational AI platform and related infrastructure.
- Collaborate with research scientists, product managers, and design leaders to translate business problems into structured engineering solution.
- Partner with data, cloud, and security teams to design architectures for data pipelines and multi-agent orchestration.
- Foster a culture of technical excellence, innovation, and responsible AI deployment across all teams and initiatives.
- Contribute to the overall AI strategy, ensuring alignment with product vision, compliance requirements, and business growth priorities.
Your Key Responsibilities- Architect and implement the Conversational AI platform using Gen AI models, semantic search and retrieval-augmented generation (RAG) techniques.
- Oversee system design for multi-modal interactions (text, voice, vision) ensuring performance, scalability, and cost efficiency.
- Lead the evaluation and integration of state-of-the-art LLMs and open frameworks for inference, and orchestration.
- Build continuous learning and feedback systems using real-world conversational data for model improvement.
- Establish engineering standards, experimentation frameworks, and CI/CD pipelines for Gen AI services.
- Drive cross-functional innovation to deliver differentiating features such as adaptive personas, context memory, and trust/safety filters.
- Manage vendor relationships, platform partnerships, and cloud optimization for large-scale AI workloads.
Your skills and experience that will help you excel- 10+ years of software or AI engineering experience, with expertise in overseeing large-scale AI systems.
- Proven expertise in deploying and optimizing large language models and multi-agent architectures.
- Solid understanding of cloud-native AI infrastructure (Azure, Google Cloud Platform) with hands-on knowledge of distributed inference pipelines.
- Experience with frameworks such as PyTorch, TensorFlow, LangChain, Langflow, etc.
- Strong grounding in data engineering, model evaluation, MLOps, and system observability.
- Deep knowledge of conversational AI, dialog management, and human-in-the-loop design.
- Demonstrated success in building and mentoring diverse AI and engineering teams.
- Advanced degree (PhD or MSc) in Computer Science, Machine Learning, or a related technical discipline preferred.
About MSCIWhat we offer you- Salary range: $109,000 - $142,000 / year plus eligible for annual bonus
- Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
- A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
- Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
- Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
- We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum.
At MSCI we are passionate about what we do, and we are inspired by our vision - to power better decisions. You'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.
MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.
MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.
To all recruitment agenciesMSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.
Note on recruitment scamsWe are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com
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