Title: AI Junior / Intermediate Developer - HYBRID Location: New York United States Job Description: Req ID: 370177 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AI Junior / Intermediate Developer - HYBRID to join our team in New York, New York (US-NY), United States (US). Role Summary Lead hands-on technical onboarding and proof-of-concept integration of emerging AI development tools (e.g., Cursor, Factory AI) where no prior commercial agreements exist. Work on an iterative, pipeline-based cadence with priorities set by readiness, approvals, and business need. Key Responsibilities - Drive technical onboarding of new AI developer tools lacking existing commercial agreements. - Build proof-of-concept implementations and assess integration readiness against Morgan Stanley's developer platform. - Partner with security, risk, and platform teams to evaluate controls and integration constraints. - Document onboarding steps, integration patterns, and operational considerations for each tool. - Collaborate with internal stakeholders on requirements, success criteria, and enablement needs. - Support iterative expansion - onboard additional tools as they are prioritized during the engagement. Minimum Skills: - 2+ years hands-on experience building or integrating with AI-assisted development tools. - Proficient in at least one modern language (Python, TypeScript/Node.js, Go, or Java) and comfortable building CLIs, plugins, or integrations. - 2+ years experience standing up proof-of-concept environments (containers, cloud sandboxes, IDE extensions). - 2+ years understanding of Git-centric workflows, CI/CD, and developer tooling ecosystems. - 2+ years technical writing skills for integration documentation and runbooks. Preferred Skills: - Hands-on experience with LLM SDKs (Anthropic, OpenAI, Google) and agentic frameworks. - Prior integration work with MCP servers, VS Code extensions, or JetBrains plugins. - Familiarity with enterprise authentication (SSO, OAuth) and secrets management. - Financial services experience. Education Bachelor's degree in Computer Science, Software Engineering, or related technical field (or equivalent professional experience) Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $104,904 - $218,550. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. #LI-NorthAmerica INDHCLSMC About NTT DATA</p> NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Title: German Annotator Location: PL Department: Production Job Description: We are currently hiring detail-oriented German-speaking individuals for flexible annotation projects. This is a freelance opportunity (remote, part-time, paid in USD). What You&rsquo;ll Do - Perform annotation tasks in German. - Work on a Response Evaluation annotation project (Graph Search-focused; reading and understanding only, no writing required) - Interpret queries (in Italian) and provide responses in English - Join online training sessions (conducted in English) - Follow English-language guidelines carefully - Commit at least 4 hours/day and deliver high-quality work on time Must-Have What We Offer - Fluent in German - English working proficiency (required for training and responses) - Strong reading comprehension and analytical skills - Ability to understand structured/Graph Search data - Willing to pass a short test in English - Prior annotation or linguistic experience - Strong attention to detail and consistency - 100% remote, flexible schedule - Paid in USD - Opportunity to be part of a growing global AI/annotation network - Note: Limited slots available &mdash; quick responses are encouraged.

• You'll operate at the crossroads of AI product strategy, (pre) sales and customer success. • Work hand-in-hand with Product Managers and Engineers, and go-to-market (GTM) teams, to define, develop, and launch conversational AI agents that power large volumes of live customer interactions. • The role blends strategic thinking with hands-on agent design, requiring fluency in both business context and technical execution. • Serve as a strategic partner to customers, supporting the evolution, execution, and adoption of concrete AI initiatives. • Convert business requirements into well-designed, high-performing AI agents. • Lead delivery across multiple concurrent complex agentic projects that receive maximum visibility both from customer side as well as from the NiCE perspective. • Bridge the gap between technical teams and business stakeholders throughout the entire development lifecycle. • Shape agent behavior through conversational design, product intuition, and performance data. • Surface data-driven action items and iterations that sharpen both customer outcomes and internal decision-making.

• Develop and extend the firm-wide ontology, defining entity types, properties, and relationships that represent how Marketbridge delivers value across practice areas, so AI systems can reason over that structure rather than rely on keyword retrieval alone. • Author and refine skill definitions for the AI context layer, establishing the schema that anchors each capability to the right practice domain and engagement type, and building the metadata framework that governs how context flows between agents and tools. • Work directly with Practice AI Leads to validate that the ontology reflects how work is actually structured and delivered across the firm, identifying gaps between documented methodology and operating reality and closing them through iterative revision. • Work with the global AI product lead to define how institutional expertise, client context, and delivery frameworks should interconnect across the firm, contributing to a knowledge architecture that enables intelligence to move across practices and geographies rather than remain siloed within individual teams. • Design an iterative ontology management approach structure based on validation findings, refining entity relationships, resolving classification conflicts, and improving retrieval performance across the AI context layer. • Work with the engineering team to research architectural decisions, governance model, and ontology maintenance standards to ensure the context layer remains accurate, auditable, and extensible as the platform evolves, and the firm grows.