This is a remote position. We’re supporting a Financial Services client looking to bring on an experienced AWS Operations / Infrastructure Consultant to support an enterprise-scale contact center environment. This is a net-new role focused on day-to-day AWS operational support, with exposure to contact center / telephony systems (including Amazon Connect). Employment Type: 6-month contract (extension possible) Work Schedule: Able to work Eastern Time business hours Location: Remote - MUST be physically located in the US (Visa sponsorship is not available) What You'll Do: - Manage AWS IAM (users, roles, policies) and access control frameworks. - Handle permissions, governance, and account-level configurations. - Support ongoing AWS operational requests across a multi-account environment. - Maintain and optimize AWS infrastructure in a production environment. - Collaborate with internal teams supporting enterprise contact center infrastructure. - Contribute to stability, security, and operational efficiency of AWS environments. Requirements - Strong hands-on experience in AWS operations / infrastructure (non-development). - Deep understanding of: IAM (identity and access management), access control and governance, and account-level AWS administration. - Experience supporting live production AWS environments. - Exposure to contact center / telephony systems. - Experience with Amazon Connect. - Ability to work cross-functionally with infrastructure and operations teams. - Experience in Financial Services environments. - Familiarity with enterprise contact center platforms (e.g., NICE, Genesys, etc.). - Prior experience in highly regulated environments. ------------------------ At Talencore, we stand against racism and discriminatory practices. We stand against violence. We proudly support and partner with organizations that lift people up so everyone can succeed and thrive, and honour our candidates' experiences, perspectives and unique identity. We are committed to continuing to make diversity, equity, and inclusion part of everything we do – from how we work with our talented candidates to how we support our clients in building their diverse workforce.

Role Description We are seeking an individual to fill the role of Arquiteto SRE - Pleno, joining a team/project focused on… (project type, industry…). You will be involved in: - Leading a squad of 8 to 10 team members - Managing the backlog - Mentoring new team members Qualifications - Extensive knowledge of XXXX - At least X years of experience in XXXXX - Experience in the banking sector - Proven track record of managing teams of up to 10 people Requirements - Remote work, schedule… Benefits - Flexible working model - Digital Health and Wellness platform, MyWellness - Health Training programs - Activities with the Entelgy SportClub - MyFlex Flexible Benefits Plan with financial and tax advantages - Access to over 450 exclusive discounts and special offers via MyClub portal Company Description At Entelgy, caring for you in every aspect is a core principle embedded in our Genuine culture, reflected in our daily operations. We prioritize and facilitate work-life balance through our initiatives designed to promote a healthy and balanced lifestyle. Our Entelgy College university offers a comprehensive training portfolio covering technologies, skills, certifications, 12 languages, and more. You choose your learning path, and your growth is both guaranteed and amplified.

Role Description - Build and maintain AI agent systems (LLM-based) with a focus on reliability and factual accuracy. - Implement and optimize hallucination detection models (e.g., HHEM) in production pipelines. - Develop RAG pipelines: semantic search, vector databases, and data retrieval to ground AI responses in real data. - Apply Responsible AI practices: guardrails, transparency, logging, and human-in-the-loop escalation. - Optimize system performance for latency, scalability, and cost-efficiency. - Collaborate with cross-functional teams (product, UX, data, customers) to deliver features. - Mentor junior engineers and support knowledge sharing within the team. - Contribute to internal tools, open-source projects, or research publications when relevant. Qualifications - Bachelor's or Master's degree in Computer Science, AI, or related field. - 3–7 years of experience in AI/ML engineering, preferably with LLMs or AI agents in production. - Strong programming skills in Python, with experience in ML frameworks such as PyTorch or TensorFlow. - Hands-on experience with LLMs, embeddings, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.). - Familiarity with MLOps, CI/CD pipelines, and cloud deployment (AWS, GCP, or Azure). - Experience with Responsible AI, bias mitigation, or hallucination detection is a plus. - Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. - Excellent communication skills to explain technical concepts to non-technical stakeholders. - Experience with AI agent frameworks such as LangChain, AutoGPT, or LlamaIndex. - Prior work in regulated or high-stakes industries (healthcare, finance, legal). - Open-source contributions or research publications in AI/ML. - Product-oriented mindset with experience in translating business requirements into technical solutions. Requirements - Bachelor's or Master's degree in Computer Science, AI, or related field. - 3–7 years of experience in AI/ML engineering, preferably with LLMs or AI agents in production. - Strong programming skills in Python, with experience in ML frameworks such as PyTorch or TensorFlow. - Hands-on experience with LLMs, embeddings, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.). - Familiarity with MLOps, CI/CD pipelines, and cloud deployment (AWS, GCP, or Azure). - Experience with Responsible AI, bias mitigation, or hallucination detection is a plus. - Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. - Excellent communication skills to explain technical concepts to non-technical stakeholders. - Experience with AI agent frameworks such as LangChain, AutoGPT, or LlamaIndex. - Prior work in regulated or high-stakes industries (healthcare, finance, legal). - Open-source contributions or research publications in AI/ML. - Product-oriented mindset with experience in translating business requirements into technical solutions. Company Description

• Lead the architectural design and automation of a Databricks 2.0 ecosystem • Architect Databricks 2.0 environments (Dev/UAT/Prod) using Terraform • Define RBAC frameworks and Unity Catalog strategies • Build automated pipelines for promoting jobs, notebooks, and workflows