AppModernization_AWS_Solution_Architect

Accenture; Kolkata District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Accenture is seeking an AWS Agentic Product Engineer to lead solutioning, asset development, and scalable deployment frameworks for mid-market clients. The role blends software engineering, cloud infra, automation, and AI innovation to deliver reusable AI-enabled products on AWS.

You'll collaborate with Sales Pursuit, Solution Architects, and Delivery teams to design, build, and validate agentic AI assets, driving rapid deployment and high reuse across engagements while advancing engineering

Qualifications

• Bachelor's degree or equivalent minimum 12 years of work experience.
• Associate degree with at least 6 years of relevant work experience.
• Deep understanding of AWS cloud services, cloud native architectures, and software engineering practices.
• Experience building agentic AI solutions, intelligent automation platforms, and reusable AI assets.
• Strong knowledge of infrastructure as code, CI/CD, DevOps, testing automation, and cloud security.
• Understanding of Generative AI, orchestration frameworks, intelligent agents, and evaluation methodologies.
• Experience designing scalable, maintainable, and reusable product architectures.
• Strong communication, collaboration, and stakeholder management skills.
• Ability to lead complex engineering initiatives across cross functional teams.
• Bonus points for Agile, MLOps, and modern engineering operating models.

Responsibilities

• Translate business requirements into scalable agentic AI product architectures.
• Design reusable agent configurations, orchestration frameworks, and AI workflow architectures.
• Collaborate with Sales Pursuit, Solution Architects, Engineering, and Delivery Teams to develop scalable and repeatable AI offerings.
• Build scalable infrastructure-as-code templates and deployment accelerators using AWS services.
• Develop automated testing approaches and governance for reusable assets.

Skills

AWS

Cloud engineering

AI

CI/CD

DevOps

MLOps

Education

Bachelor's degree or equivalent

Associate degree

Tools

AWS Bedrock

Job description

Job Description:

OverviewThe primary responsibility of this role is to act as an AWS Agentic Product Engineer inmedium-to-large opportunities for mid-sized clients; that may involve solutioning includingbut not limited to understanding client requirements, designing reusable AI assets,developing agentic workflows, engineering cloud-native AI products, and establishingscalable deployment frameworks. Mid-market organizations increasingly require AIenabled products that can be deployed rapidly, reused across multiple engagements, andadapted to changing business requirements.The role requires the ability to combine software engineering, cloud infrastructure,automation, testing, and AI innovation to create differentiated solutions.Key ResponsibilitiesSolution Engineering, Product Strategy & Asset DevelopmentTranslate business and technical requirements into reusable AI-enabled product assetsusing AWS-native services and modern engineering practices.Collaborate with Sales Pursuit, Solution Architects, Engineering, and Delivery Teams todevelop scalable and repeatable AI offerings.Design and build reusable agentic AI-enabled solutions that accelerate deployment andadoption across multiple client engagements. Drive innovation through proof-of-concepts, pilot solutions, and packaged AI assets.AWS Agentic Product ArchitectureDesign reusable agent configurations, orchestration frameworks, and AI workflowarchitectures.Build scalable infrastructure-as-code templates and deployment accelerators using AWSservices. Define reference architectures supporting agentic AI, intelligent automation, and AInative applications.Optimize architecture patterns for reusability, maintainability, and deploymentefficiency. Engineering Excellence, Testing & Quality AssuranceDevelop robust evaluation, testing, validation, and monitoring frameworks for AIenabled products. Implement automated testing approaches that ensure quality, reliability, andperformance consistency. Establish engineering standards, coding practices, and governance frameworks forreusable assets. Support product lifecycle management, version control, release management, andcontinuous improvement. Identify opportunities to improve engineering productivity through automation andreusable accelerators. Client Engagement & CollaborationPartner with architects, delivery teams, product owners, and business stakeholders toalign solutions with business objectives.Participate in discovery sessions, architecture reviews, and product roadmapdiscussions. Provide technical advisory support for reusable AI products and cloud-native solutionarchitectures. Communicate engg decisions, product capabilities, and solution benefits tostakeholders.Thought Leadership & InnovationContribute to AI product innovation strategies and reusable asset developmentinitiatives. Mentor engineering teams on AI product development, cloud engineering, and agenticarchitecture principles. Contribute to reusable frameworks, accelerators, best practices, and thought leadershipactivities.ExperienceMinimum 5–8 yrs exp in Product Engineering, S/W Engineering, CloudEnggg, AI Engg, or related domains.Experience designing and building cloud-native apps and reusable softwareassets on AWS. Experience developing AI, machine learning, automation, or intelligent workflowsolutions, infrastructure-as-code, CI/CD pipelines, and automateddeployment frameworks. Demonstrated ability to translate business requirements into scalable productarchitectures. Experience developing proof-of-concepts, reusable accelerators, testing frameworks,and productized assets. Experience supporting enterprise AI transformation and cloud modernizationinitiatives.EducationBachelor s degree or equivalent minimum 12 years of work experience .Associate degree with at least 6 years of relevant work experience.Preferred SkillsDeep understanding of AWS cloud services, cloud native architectures, and softwareengineering practices.Experience building agentic AI solutions, intelligent automation platforms, and reusableAI assets.Strong knowledge of infrastructure as code, CI CD, DevOps, testing automation, andcloud security.Understanding of Generative AI, orchestration frameworks, intelligent agents, andevaluation methodologies.Experience designing scalable, maintainable, and reusable product architectures.Strong communication, collaboration, and stakeholder management skills.Ability to lead complex engineering initiatives across cross functional teams.Strong analytical, troubleshooting, and problem solving capabilities.The candidate should have PE VC mentality.Bonus PointsProven track record building reusable AI products and cloud native engineering assets.Experience developing agentic AI frameworks, evaluation accelerators, and deploymenttemplates.Experience with Agile, DevOps, MLOps, and modern engineering operating models.Knowledge of AWS Bedrock, intelligent agents, automation frameworks, and AIorchestration platforms.Contributions to reusable frameworks, patents, publications, innovation programs, orthought leadership initiatives.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.