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Technologies & tools

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MCP Snowflake

Senior individual contributor across 4–5 concurrent projects. You engage Business and Transformation Leaders to assess feasibility, deliver POCs in 1–4 weeks, define solution architecture, and build the complex pieces yourself. The quality of your upfront design determines how fast the team builds and how clean the testing is.

Your tasks

Engaging with business and transformation leaders to assess feasibility and define AI solutions
Designing end-to-end solution architecture for AI and automation initiatives
Delivering proofs-of-concept within short timelines (1–4 weeks)
Building complex, hands-on technical components and guiding implementation
Ensuring high-quality design that enables faster development and clean testing

Requirements

At least 10 years of strong hands-on experience in the industry with AWS AgentCore, including runtime, memory, and tools gateway
Deep expertise in LangGraph and LangChain for agentic AI and multi-agent workflows
Experience with AWS Bedrock, including multi-model deployment, guardrails, and knowledge bases
Solid understanding of RAG architectures, vector search, and AI data access using SQL
Advanced Python skills with experience in production deployments, CI/CD, and monitoring
AWS Agent Core — Runtime, Memory, Tools Gateway — production hands-on required
Strong communication skills with fluent English

Job no. 260515-D0FPH

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Технології

Необхідні навички

AWS RAG langgraph

Буде перевагою

MCP Snowflake

Старший індивідуальний учасник 4-5 паралельних проектів. Ви залучаєте бізнес-лідерів та лідерів трансформації для оцінки здійсненності, проведення POC протягом 1-4 тижнів, визначення архітектури рішення та самостійного створення складних компонентів. Якість вашого попереднього дизайну визначає швидкість роботи команди та якість тестування.

Завдання

Співпраця з лідерами бізнесу та трансформацій для оцінки доцільності та визначення рішень у сфері ШІ
Проектування комплексної архітектури рішень для ініціатив зі штучного інтелекту та автоматизації
Надання підтверджень концепції в короткі терміни (1-4 тижні)
Створення складних, практичних технічних компонентів і керівництво впровадженням
Забезпечення високоякісного дизайну, що сприяє швидшій розробці та чистому тестуванню

Наші очікування

Щонайменше 10 років практичного досвіду роботи в галузі з AWS AgentCore, включаючи середовище виконання, пам'ять та шлюз інструментів
Глибока експертиза в LangGraph і LangChain для агентного ШІ і мультіагентних робочих процесів
Досвід роботи з AWS Bedrock, включаючи багатомодельне розгортання, захист та бази знань
Глибоке розуміння RAG-архітектур, векторного пошуку та доступу до даних ШІ за допомогою SQL
Просунуті навички Python з досвідом виробничого розгортання, CI/CD та моніторингу
AWS Agent Core - виконання, пам'ять, шлюз інструментів - необхідна виробнича практика
Сильні комунікативні навички та вільне володіння англійською мовою

Вакансія № 260515-D0FPH

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Agentic AI Solutions Architect (f/m/x)

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