Solutions Architect

Job Title : Sr Manager - Solution Architect, AI

Employment Type : Full Time

Location : Bengaluru

Experience : 10 - 12 years

Salary : Upto 30 LPA

Role overview

The ideal candidate will be a hands-on leader with pre-sales and architecting

expertise in cloud application modernization (AWS, GCP or Azure) and programming

skills in Java or Python. You will be responsible for assessing a customer's current

application portfolio, defining the modernization roadmap, and architecting the

future-state solutions. This role requires a unique blend of strategic foresight, deep

technical knowledge, and the leadership skills to guide a team through

transformation projects.

Key Responsibilities :

• Provide leadership related to cloud transformation specifically in Application

Modernization, API Integration by leveraging AI and PaaS solutions in public

cloud (AWS, GCP, Azure).

modernized applications, leveraging microservices, containerization (Docker,

Kubernetes), serverless computing, and event-driven patterns.

(PoCs) and foundational components of the new architecture to validate

design decisions and mitigate technical risks.

platforms (iPaaS, ESB), and tools to enhance integration capabilities and

performance.

execution plan during pre-sales and implementation stages.

teams, and provide insight into how to achieve a technical agreement and

migration strategy, working directly with our customers, partners, and

prospects.

product challenges affecting customer satisfaction.

demonstrations. Engage directly with prospects regarding architecture

discussions and best practices.

architecture workshops or PoCs during pre-sales phase

Required Skills :

a related field.

enterprise technology company, or similar customer facing experience.

4 years in a dedicated technical or solution architect role, focused on

application and data integration.

leadership engagement and team development.

executive leaders.

executive-level stakeholders in business and technology transformation.

deploying applications on a public cloud platform (AWS, GCP). Expertise with

serverless computing (Lambda, Functions, Elastic Beanstalk, AppFlow,

AppRunner, Fargate, CloudRun, App Engine, Firebase), containerization

(Docker, Kubernetes).

frameworks like Spring Boot) or Python (including frameworks like

Django / Flask).

systems (Kafka, RabbitMQ, SQS, etc.).

Apigee, AWS API Gateway) and implementing security standards like OAuth

2.0, OpenID Connect, and JWT.

cross-functional teams.

Nice-to-Have :

frameworks, LLM Models.

DynamoDB) databases.