This position requires a bachelor’s degree in Engineering Computer Science or Computer Information SystemsGood understanding on DevOps tools such as GitHub, Azure Devops,Cloud Technologies.Self-motivated with a willingness to learn with strong sense of accountability and proven track record of delivering desired results.Strong interpersonal skills including mentoring, coaching, collaborating, and team building. Strong analytical, planning, and organizational skills with an ability toefficiently communicate and manage competing demands.Ability to multi-task, work under pressure, meet deadlines and thrive in a fast-paced very demanding start-up environment, Ready to work across multiple global time zones.If you're passionate about developing high-quality software applications and enjoy working in a collaborative environment, we encourage you to apply. We offer competitive compensation and benefits packages, and opportunities for growth and development within the organization.Note: This job is for India location, to start with it will be remote with future move required to come to office.Salary: Based on experienceOriginally posted on Himalayas
Bachelor's Degree (BS/BA) + 5-7 years of experienceDemonstrated experience designing, implementing, or securing AI/ML workloads in cloud environmentsHands-on proficiency with primary AI/ML platforms: Amazon Bedrock, Amazon Q, and Amazon SageMakerPreferred experience with secondary platforms: Azure AI Foundry, Microsoft 365 Copilot, Copilot Studio, Azure Machine LearningExperience in a client-facing consulting or professional services roleEmbraces emerging technologies, including AI tools, to work smarter, solve problems, and drive better business outcomesBasic Python competency, including the ability to read, write, and troubleshoot code for automation and integration tasksUnderstanding of agentic AI patterns, AI governance frameworks, and secure AI composition (e.g., multi-agent orchestration, tool-use guardrails, prompt injection mitigation)AWS Certified Solutions Architect, AWS Certified Machine Learning, or AWS AI Practitioner certificationAzure AI Engineer Associate, Azure Solutions Architect Expert, or Microsoft 365 Certified: Administrator ExpertGoogle Cloud Professional Machine Learning Engineer or Google Cloud Professional Cloud ArchitectExperience writing statements of work (SOWs), proposals, or scoping documents for professional services engagementsBackground in security frameworks (NIST AI RMF, OWASP LLM Top 10, ISO 42001) as applied to AI/ML workloadsPublic speaking experience, including presentations at conferences, webinars, or industry eventsPrior experience in practice development, service catalog creation, or go-to-market strategy for a consulting or professional services firmAWS Certified Developer - AssociateExperience with AI gateways, Model Context Protocol (MCP), and policy-as-code frameworks (e.g., Cedar, OPA)
