advanced solutions architect

Syngenta Group

<div><b>Company Description</b><p><br>
Syngenta is one of the world&rsquo;s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our <b>60,000</b> people in over <b>100</b> countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities.</p><p>
A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet.</p><p>
To learn more visit: www.syngenta.com</p><b><br>
Job Description</b><p><b><br>
Purpose</b></p><p>
The <b>AI Solution Architect &ndash; GSS </b>leads high-priority AI initiatives, leveraging AWS Bedrock, LangGraph and advanced agentic AI technologies to solve complex business challenges for data scientists, AI agents, and business users. Acting as the bridge between functional domain experts and technical engineering teams, this role translates business needs into robust, scalable, and well-governed AI-powered solutions.</p><p>
This position is accountable for the end-to-end design, deployment, and user experience of AI and analytics products supporting GSS (IT Support, Finance, HR, Indirect Procurement, Legal, Facility Management, etc.). The AI Solution Architect owns the full AI solution landscape delivered by IT&amp;D teams, including architectural design, proof-of-concept implementation, AI model integration, and management of development, testing, and production environments.</p><p>
As a key enabler in the GSS AI journey, the AI Solution Architect ensures AI solutions are interoperable, ethically governed, performant, and built on the right platforms. The role works closely with the Central Data &amp; Analytics Architecture team and AI Center of Excellence to align functional and enterprise-wide needs, ensure the right AI technologies and frameworks are in place, and embed Corporate Functions within the organization's AI framework.</p><p><b>
Accountabilities</b></p><p><b>
Solution Design for Corporate Functions:</b></p><ul><li>
Design and implement AWS Bedrock-centered AI architectures and agentic patterns to meet the needs of Finance, HR, Procurement, Legal, and other corporate functions.</li><li>
Ensure AI solutions meet requirements for intelligent automation, conversational AI, decision support, and predictive analytics, while aligning with enterprise AI governance, security, and responsible AI standards.</li></ul><p><b>
AI Agent &amp; Solution Architecture:</b></p><ul><li>
Architect agentic AI solutions using LangGraph and multi-agent frameworks, defining agent orchestration, tool integration, memory management, and human-in-the-loop patterns for corporate function use cases.</li><li>
Translate business requirements from corporate stakeholders into scalable, maintainable AI solution designs that leverage foundation models, RAG (Retrieval-Augmented Generation), and agent-based workflows.</li></ul><p><b>
AI Model Integration &amp; Platform Build:</b></p><ul><li>
Lead the design of AI solution architectures integrating AWS Bedrock foundation models (Claude, Titan, etc.) with enterprise data sources, vector databases, and knowledge bases.</li><li>
Guide AI Engineers and Data Engineers in implementing LangGraph-based agent workflows, prompt engineering strategies, and model evaluation frameworks.</li></ul><p><b>
Leadership &amp; Collaboration:</b></p><ul><li>
Lead and mentor AI Engineers, Data Engineers, SMEs, and external consultants working on corporate function AI initiatives.</li><li>
Work closely with business analysts, product owners, AI governance teams, and legal/compliance to ensure solutions meet functional, ethical, and regulatory requirements.</li></ul><p><b>
Integration &amp; Orchestration:</b></p><ul><li>
Architect agentic integration solutions using LangGraph for multi-step reasoning, tool calling, and external system integration (SAP, Workday, ServiceNow, etc.).</li><li>
Collaborate with platform teams to implement CI/CD pipelines for AI agents, including automated testing, model versioning, and deployment automation on AWS.</li></ul><p><b>
AI Modernization &amp; Transformation:</b></p><ul><li>
Contribute to AI transformation strategies, migrating legacy automation and analytics solutions to modern agentic AI architectures powered by Bedrock and LangGraph.</li><li>
Define patterns for responsible AI deployment, including monitoring, explainability, bias detection, and continuous improvement of AI agents in production.</li></ul><p></p><p><b><br>
Professional Experience:</b></p><ul><li>
15+ years of overall professional experience, including:<ul><li>
10+ years in architecting enterprise-scale AI solutions.</li></ul></li><li>
7+ years enterprise software development, solution engineering, or AI/ML consulting</li><li>
3+ years production experience with Large Language Models and generative AI</li><li>
4+ years hands-on experience with AWS SageMaker (training, deployment, pipelines, feature store)</li><li>
2+ years hands-on experience with Langgraph, LangChain, Bedrock or Agentic AI frameworks</li><li>
Proven track record delivering complex AI projects from conception to production</li></ul><p><b>
Technical Expertise:</b></p><p><b>
AI Platforms &amp; Cloud:</b></p><ul><li>
Deep expertise in AWS Bedrock (Claude, Titan, Jurassic models) and AWS AI/ML services (SageMaker, Kendra, OpenSearch, Textract, Comprehend).</li><li>
Proficient with AWS infrastructure for AI workloads: Lambda, ECS/EKS, S3, DynamoDB, RDS, API Gateway, EventBridge, Step Functions.</li><li>
Experience with vector databases (Pinecone, Weaviate, pgvector, OpenSearch Vector Engine) for RAG implementations.</li></ul><p><b>
Agentic AI Frameworks &amp; LLM Orchestration:</b></p><ul><li>
Expert in LangGraph for building stateful, multi-agent systems with cyclic workflows, human-in-the-loop patterns, and complex reasoning chains.</li><li>
Proficient in LangChain ecosystem (agents, tools, chains, memory, callbacks) and prompt engineering techniques.</li><li>
Experience with agent frameworks (Langgraph, CrewAI, Semantic Kernel) and multi-agent orchestration patterns.</li></ul><p><b>
Programming &amp; AI Development:</b></p><ul><li>
Proficient in Python for AI solution development, including libraries: boto3, langchain, langgraph, pydantic, FastAPI, streamlit.</li><li>
Experience with prompt engineering, few-shot learning, chain-of-thought reasoning, and model evaluation frameworks.</li><li>
Skilled in building conversational AI interfaces and integrating with collaboration platforms (Slack, Teams, ServiceNow).</li></ul><p><b>
Integration &amp; Tooling:</b></p><ul><li>
Skilled in API integration for AI agents (REST, GraphQL, webhooks) and tool-calling patterns for external system access.</li><li>
Experience with CI/CD for AI (GitHub Actions, AWS CodePipeline) including automated testing, model versioning, and deployment strategies.</li><li>
Proficient with collaboration platforms (Jira, Confluence, Bitbucket) and AI observability tools (LangSmith, Weights &amp; Biases, MLflow).</li></ul><p><b>
AI Architecture Best Practices:</b></p><ul><li>
Ability to design solutions aligned with AWS Well-Architected Framework for AI/ML and Responsible AI principles across security, governance, explainability, bias mitigation, and cost optimization.</li><li>
Expertise in RAG architecture patterns: chunking strategies, embedding models, retrieval optimization, and context management.</li><li>
Knowledge of AI safety and guardrails: content filtering, PII detection, hallucination mitigation, and model monitoring.</li></ul><p><b>
Enterprise Systems &amp; Knowledge Integration:</b></p><ul><li>
Experience integrating AI agents with enterprise systems (SAP ECC/S4, Ariba, Workday, Salesforce, ServiceNow) via APIs and connectors.</li><li>
Skilled in knowledge base construction from structured and unstructured corporate data sources (SharePoint, Confluence, databases, PDFs).</li><li>
Understanding of enterprise authentication (SSO, OAuth, SAML) and secure API access patterns for AI agents.</li></ul><p><b>
Multi-Cloud &amp; AI Platform Awareness:</b></p><ul><li>
Understanding of Azure OpenAI Service, Azure AI Studio, and Google Cloud Vertex AI for hybrid and multi-cloud AI strategies.</li><li>
Awareness of alternative LLM platforms (Anthropic Direct, OpenAI, Cohere, Hugging Face) and model selection criteria.</li><li>
Knowledge of edge AI deployment patterns and on-premises LLM hosting options for sensitive use cases.</li></ul><p><b>
Key Competencies:</b></p><ul><li><b>
Strategic Thinking &amp; Problem Solving:</b> Ability to analyse and simplify complex problems, articulate trade-offs for informed decision-making, and make appropriate recommendations.</li><li><b>
Collaboration &amp; Influence:</b> Excellence in collaboration, cross-functional expectation management, and influencing skills.</li><li><b>
Business Acumen:</b> Ability to translate business requirements into databases, data warehouses, and data streams.</li><li><b>
Data Management:</b> Experience in creating procedures to ensure data accuracy and accessibility; analysing, planning, and defining data architecture frameworks (including security, reference data, metadata, and master data); and creating and implementing data management processes and procedures.</li><li><b>
Stakeholder Engagement:</b> Proven ability to collaborate with other teams within the organization to devise and implement data strategies, build models, and assess shareholder needs and goals.</li><li><b>
Innovation:</b> Aptitude for researching data acquisition opportunities and developing application programming interfaces (APIs) to retrieve data.</li><li><b>
Communication:</b> Excellent written, verbal, and meeting facilitation skills.</li></ul><br>
<b>
Qualifications</b><p><br>
Bachelor's or Master's degree in informatics, computer science, or a related AI field.</p><b><br>
Additional Information</b><p><br>
Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.</p><p>
Follow us on: LinkedIn</p><p>
LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all</p></div>

Ai Solution Architect

Azentio Software

A leading financial services software provider in Dubai seeks an experienced Anti-Money Laundering & Fraud Specialist Solutions Architect. This role will support go-to-market efforts across the Middle East & Africa and Asia-Pacific regions. Candidates should have over 8 years of experience in AML compliance and fraud risk management, along with strong technical knowledge of relevant solutions. The position offers a full-time employment model with opportunities for travel.

Dubai-based AML & Fraud Solutions Architect - MEA/APAC

Deeplight

About the Role <p>We're looking for an experienced and personable GenAI Solutions Architect to join our growing AI delivery team. You'll design and build large language model (LLM) systems that move beyond experimentation and into real-world production - powering search, summarisation, knowledge assistants, and automation for enterprise clients.</p> <p>This is a hands-on, execution-focused role that requires strong stakeholder management skills. You'll work closely with product managers, engineers, and AI specialists to ship scalable solutions. You won't be buried in research or building theoretical models; you'll be deploying actual systems that users rely on every day.</p> Requirements What You'll Do <ul> <li>Architect end-to-end GenAI systems, including prompt chaining, memory strategies, token budgeting, and embedding pipelines</li> <li>Design and optimize RAG (Retrieval-Augmented Generation) workflows using tools like LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Qdrant). Experience with Graph RAG architectures and proficiency in Node.js required.</li> <li>Evaluate tradeoffs between zero-shot prompting, fine-tuning, LoRA / QLoRA, and hybrid approaches, aligning solutions with user goals and constraints</li> <li>Integrate LLMs and APIs (OpenAI, Anthropic, Cohere, Hugging Face) into real-time products and services with latency, scalability, and observability in mind</li> <li>Collaborate with cross-functional teams-translating complex GenAI architectures into stable, maintainable features that support product delivery</li> <li>Write and review technical design documents and remain actively involved in implementation decisions</li> <li>Deploy to production with industry best practices around version control, API lifecycle management, and monitoring (e.g., hallucination detection, prompt drift)</li> </ul> What You'll Bring <ul> <li>Proven background in Machine Learning</li> <li>Proven experience building and deploying GenAI-powered applications, in enterprise or regulated environments</li> <li>Deep understanding of LLMs, vector search, embeddings, and GenAI design patterns (e.g. RAG, prompt injection protection, tool use with agents)</li> <li>Proficiency in Python and fluency with frameworks and libraries like LangChain, Transformers, Hugging Face, and OpenAI SDKs</li> <li>Experience with vector databases such as FAISS, Qdrant, or Pinecone</li> <li>Familiarity with cloud infrastructure (AWS, GCP, or Azure) and core MLOps concepts (CI / CD, monitoring, containerization)</li> <li>Proven experience supporting and/or delivering AI / ML Products</li> <li>A commercial and delivery mindset- you know how to balance speed, quality, and feasibility in fast-moving projects</li> </ul> Nice to Have <ul> <li>Experience building multi-tenant GenAI platforms</li> <li>Exposure to enterprise-grade AI governance and security standards</li> <li>Familiarity with multi-modal architectures (e.g., text + image or audio)</li> <li>Knowledge of cost-optimization strategies for LLM inference and token usage</li> </ul> This Role Is Not For <ul> <li>ML researchers focused on academic model development without delivery / product experience</li> <li>Data scientists unfamiliar with vector search, LLM prompt engineering, or system architecture</li> <li>Engineers who haven't shipped GenAI products into production environments</li> </ul> Benefits & Growth Opportunities <ul> <li>Competitive salary and performance bonuses</li> <li>Comprehensive health insurance</li> <li>Professional development and certification support</li> <li>Opportunity to work on cutting-edge AI projects</li> <li>International exposure and travel opportunities</li> <li>Flexible working arrangements</li> <li>Career advancement opportunities in a rapidly growing AI company</li> </ul> <p>This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</p>

GenAI Solutions Architect

Sundus

<div>
 Position: AI Solutions Architect / Lead
 <br/>
 <br/>
 JPC: JPC - 5535
 <br/>
 <br/>
 Location: Abu dhabi
 <br/>
 <br/>
 Experience:8+ Years
 <br/>
 <br/>
 Role
 <br/>
 <br/>
 <ul>
  <li>
   Lead the architecture, design, and end-to-end delivery of complex AI/ML solutions. Define and implement AI strategy in alignment with enterprise goals and digital transformation initiatives.
  </li>
  <li>
   Translate business requirements into scalable and secure AI system architectures. Oversee the development and deployment of AI/ML models in production environments.
  </li>
  <li>
   Drive MLOps and AI lifecycle automation including model training, versioning, testing, deployment, and monitoring.
  </li>
  <li>
   Hands-on experience with frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI APIs.
  </li>
  <li>
   Experience with tools like MLflow, Kubeflow, Airflow, SageMaker Pipelines, Vertex AI Pipelines.
  </li>
  <li>
   8+ years of experience in software or data architecture roles, with 3&ndash;4 years focused on AI/ML.
  </li>
  <li>
   Familiarity with regulatory frameworks for data and AI (e.g., GDPR, HIPAA, ISO 42001).
  </li>
 </ul>
</div>


AI Solutions Architect / Lead

PACELearn, Inc.

<p><b>Job Location: </b>Pakistan (Remote)</p><p><b>Department:</b> Technology</p><p><b>Type: </b>Full-Time</p><p><b>Working hours: </b>6 pm &ndash; 3 am (US Hours)</p><p><b>Vision:</b> Transforms students&rsquo; lives through Innovating workforce development models addressing skillset gaps</p><p><b>Mission:</b> Transforms students&rsquo; lives by curating university programs and mapping them to certifications aligned to the emerging job market through apprenticeship and upskilling programs</p><p>At EdTech Ventures, we are committed to upholding the following core values:</p><p><b>P*assion |</b>R<b>espect | </b>A<b>ccountability | </b>I<b>nnovation | </b>S<b>peed | </b>E<b>xecution [ </b>PRAISE* ]</p><p><b>Overview:</b></p><p>The <b>Agentic AI Solutions Architect Manager</b> leads the design, integration, and deployment of agentic-AI&ndash;driven systems for the EdTech venture&rsquo;s RAD program. This role combines strategic technical leadership, hands-on architecture development, and cross-functional collaboration to accelerate the delivery of AI-native learning experiences, content automation workflows, and adaptive learning intelligence.</p><p>The manager will oversee a team of AI solutions architects and engineers, guiding them to build scalable agentic systems, LLM-enabled pipelines, and modular AI services tailored for rapid prototyping and iterative product delivery.</p><p><b>Responsibilities</b>, include but are not limited to:</p><p><b>AI Architecture &amp; System Design</b></p><ul><li>Design end-to-end architectures for agentic AI workflows, including planning agents, orchestration layers, tool-use systems, and retrieval augmentation.</li><li>Define modular, reusable AI service components aligned with RAD needs.</li><li>Evaluate and integrate LLMs, vector databases, RL frameworks, and agent frameworks (OpenAI API, LangChain, Microsoft AutoGen, etc.).</li></ul><p><b>2. Technical Leadership &amp; Delivery</b></p><ul><li>Lead a team of AI architects/engineers in designing and implementing agentic systems.</li><li>Run architecture reviews, technical spikes, and PoC/prototype cycles.</li><li>Own technical decisions, ensuring quality, reliability, and performance of AI systems.</li></ul><p><b>3. Stakeholder Collaboration</b></p><ul><li>Work closely with product, learning science, and instructional design teams to translate EdTech needs into AI solutions.</li><li>Provide technical consultations to cross-functional RAD squads and guide them through AI integration.</li></ul><p><b>4. Innovation &amp; R&amp;D</b></p><ul><li>Evaluate emerging agentic AI patterns (self-reflection, multi-agent coordination, tool governance).</li><li>Develop internal frameworks, templates, and best practices for AI-native product development.</li><li>Advocate for usable, ethical, and pedagogically aligned AI systems.</li></ul><p><b>5. Project &amp; Risk Management</b></p><ul><li>Track delivery timelines, backlog prioritization, and resource allocation.</li><li>Manage technical risks related to AI hallucination, data governance, bias, and security.</li></ul><p><b>Minimum Qualifications</b></p><p><b>Education</b></p><ul><li>At least Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, or a related discipline.</li></ul><p><b>Experience &amp; skills</b></p><ul><li>10+ years of experience in software engineering, with at least 4&ndash;5 years in solutions architecture or technical architecture leadership roles.</li><li>7+ years in software architecture or AI engineering, 2+ years in LLM-based or agentic AI systems.</li><li>Proven experience leading technical teams in fast-paced environments.</li><li>Expertise in LLM orchestration, agent frameworks, and prompt engineering.</li><li>Strong grasp of data pipelines, cloud infrastructure (AWS/Azure/GCP), and scalable service design.</li><li>Experience building or integrating EdTech, learning analytics, or personalization systems (preferred).</li></ul><p><b>Competency Identifiers</b></p><p>1. <b>AI Systems Design (Agentic, LLM, RAG): </b>Ability to architect complex, AI-native and agentic workflows end-to-end.</p><p>2. <b>Multi-Agent Orchestration &amp; Tool Integration: </b>Designing coordinated agent behaviors, tool-use pipelines, and orchestration layers.</p><p>3. <b>Modular RAD-Friendly Component Design: </b>Creating reusable AI modules that accelerate rapid prototyping and product iteration.</p><p>4. <b>Technical Team Leadership: </b>Leading architects/engineers, driving decisions, and maintaining architecture quality.</p><p>5. <b>Technical Spikes &amp; Prototyping: </b>Running fast PoCs to validate AI approaches early in the RAD cycle.</p><p>6. <b>AI Safety, Reliability &amp; Governance: </b>Ensuring privacy, safety guardrails, and low-hallucination, responsible AI deployment.</p><p>7. <b>Cross-functional Collaboration &amp; Communication: </b>Communicates clearly with non-technical stakeholders and demonstrates partnership mindset.</p><p><b>Key Performance Indicators (KPIs)</b></p><ul><li>Successful delivery of AI features/prototypes within RAD cycle timelines.</li><li>Reduction in development time through reusable AI modules.</li><li>Accuracy, reliability, and pedagogical alignment of deployed agentic systems.</li><li>Stakeholder satisfaction (product, learning science, engineering).</li><li>Team capability uplift (skills, velocity, architecture quality).</li></ul><p>Job Type: Full-time</p><p>Work Location: Remote</p>

Agentic AI Solutions Architect Manager

TechBiz Global GmbH

<div><p>At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
</p><p><b>AEP Multi-Solution Architect</b> to join one of our <b>clients</b>' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.</p><p></p><p><b>
Responsibilities</b></p><ul><li>Design end-to-end architecture across AEP modules (RT-CDP, AJO, CJA, Target).</li><li>Translate business requirements into integrated workflows.</li><li>Define integration patterns with CRM, OCS, CMS, and loyalty systems.</li><li>Deliver high-level and low-level designs, ensuring governance.</li><li>Ensure compliance with privacy, scalability, and security standards.</li><li>Act as technical authority and guide across implementation teams.</li></ul><p><b><br>
Skills &amp; Qualifications</b></p><ul><li>Broad expertise in Adobe AEP modules and Adobe Experience Cloud.</li><li>Strong experience in enterprise solution architecture.</li><li>Knowledge of integration design, APIs, and data governance.</li><li>Excellent leadership and stakeholder engagement skills.</li></ul></div><p></p>

AEP Multi-Solution Architect

<div></div><div><div><div><div><ul><div>9 - 12 Years</div>
<div></div><div>1 Opening</div>
 <div>Bangalore, Chennai, Hyderabad, Noida, Pune</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p>Role Summary:<br>
<br>
We UST workday partner company are seeking a highly skilled Workday Advanced Compensation Specialist to support, enhance, and optimize our global HR technology landscape. The ideal candidate Lead the design, implementation, and optimization of Workday Advanced Compensation modules, driving global compensation process improvements. Partner with business leaders to gather requirements, configure merit, bonus, and stock plans, and support annual compensation cycles. Provide subject matter expertise, oversee system enhancements, and ensure alignment with best practices. Key Responsibilities: &bull; Manage end-to-end configuration and implementation of Workday Advanced Compensation. &bull; Gather and analyses business requirements, lead stakeholder workshops, and translate needs into Workday solutions. &bull; Oversee compensation cycles, including bonuses, merit reviews, and stock plan administration. &bull; Collaborate with cross-functional teams for integration, testing, and troubleshooting. &bull; Provide user training, documentation, and ongoing system support. &bull; Drive process optimization and stay updated on Workday enhancements to continuously improve compensation programs. Configure, maintain, and optimize Workday Advanced Compensation modules, including: &bull; Merit, Bonus, and Stock Plans &bull; Compensation Worksheets &amp; Statements &bull; Compensation Guidelines and Eligibility Rules &bull; Compensation Review Processes &bull; Advanced Compensation Reports and Dashboards &bull; Lead annual compensation cycle planning, testing, and execution. &bull; Support global compensation processes and ensure compliance with corporate governance and regional requirements. Workday Configuration &amp; Support &bull; Perform end-to-end system configuration, testing, and deployment for enhancements and new features. &bull; Troubleshoot issues, perform root-cause analysis, and deliver timely resolutions. &bull; Develop and maintain functional documentation, configuration guides, and process flows. &bull; Collaborate with cross-functional teams on Workday releases, regression testing, and new feature adoption. Required Qualifications &bull; 8+ years total professional experience in HRIS, HR Technology, or HR Operations. &bull; 4+ years hands-on experience with Workday HCM, specifically Advanced Compensation. &bull; Workday Certification (Mandatory) &mdash; Advanced Compensation or HCM Core preferred. &bull; Strong functional knowledge of Workday business processes, security, and reporting. &bull; Experience supporting multiple annual compensation cycles. &bull; Excellent problem-solving, communication, and stakeholder-management skills. &bull; Ability to work in a fast-paced environment with shifting priorities.</p>
<p></p>
<p>Role Proficiency:</p>
<p>
Independently analyze and develop applications and review and design solutions in their assigned area of responsibility on ERP/CRM systems. Manage and mentor a team</p>
<p>
Outcomes:</p>
<div>
<ul><li> Act creatively to develop applications and select appropriate technical options. Optimize application development maintenance and performance by employing design patterns and by reusing proven solutions while accounting for others' developmental activities</li></ul>
<ul><li> Develop technical documents such as Functional Design Specifications Deployment documentation</li></ul>
<ul><li> Perform design document reviews peer code reviews and suggest code improvements</li></ul>
<ul><li> A single point of contact for the build and deployment issues and resolve them on time</li></ul>
<ul><li> Learn technology business domain system domain individually and as recommended by the project/account</li></ul>
<ul><li> Contribute to ERP/CRM Practice related activities for example (but not limited to) assembling content for case studies contributing to reusability coordinating internal seminars and conduct knowledge sharing sessions organizing sessions during and participating in hackathons etc.</li></ul>
<ul><li> Select appropriate technical options for development such as reusing improving or reconfiguration of existing components.</li></ul>
<ul><li> Identify the problem patterns and improve the technical design of the application/system</li></ul>
<ul><li> Optimizes efficiency cost and quality.</li></ul>
<ul><li> Interpret the application/feature/component design to develop the same in accordance with specifications.</li></ul>
<ul><li> Code debug test and document and communicates product/component/feature development stages.</li></ul>
<ul><li> Validate results with user representatives integrates and commissions the overall solution.</li></ul>
<ul><li> Influence and improve customer satisfaction through things like (but not limited to) offering suggestions for code refactoring and for improvements in business processes completing sprint deliverables ahead of time helping client architects and product owners by way of design suggestions and/or explaining functionality to business stakeholders etc&hellip;</li></ul>
<ul><li> Influence and improve employee engagement within the project teams</li></ul>
<ul><li> Learn and implement technology newly released features after impact analysis wherever applicable.</li></ul>
<ul><li> Attend industry/technology specific conferences (if applicable) and share the knowledge with the team.</li></ul>
<ul><li> Conduct peer reviews and demand high quality standards from the reviewed deliverables.</li></ul>
<ul><li> Conduct technical assessments for hiring candidates to developer/lead roles.</li></ul>
<ul><li> Mentor and manage a team.</li></ul>
<ul><li> Set goals for self and team in NorthStar. Provide timely feedback to team members</li></ul>
</div>
<p></p><p>Measures of Outcomes:</p>
<div>
<ul><li> Number of applicable technical/domain certifications completed</li></ul>
<ul><li> Adherence to process and standards (coding standards)</li></ul>
<ul><li> Number of mandatory trainings (industry/technology specific trainings UST mandatory trainings) completed</li></ul>
<ul><li> Average time taken for turnaround on production bugs Adherence to schedule / timelines</li></ul>
<ul><li> Number of technical sessions conducted within Practice for the benefit of peers and team members.</li></ul>
<ul><li> Contribution to RFPs and estimations in ERP/CRM Practice.</li></ul>
<ul><li> Number of Leads who were guided and upskilled to lead a technical team.</li></ul>
<ul><li>Number of process streamline documents prepared for ERP/CRM Practice</li></ul>
</div>
<p></p><p>Outputs Expected:</p>
<p>
Requirement:</p>
<div>
<ul><li>Understand the requirements/user stories</li></ul></div><br>
<p><br>
Estimate:</p>
<div>
<ul><li>Create and provide inputs for effort and size estimation and plan resources for projects.</li></ul>
<ul><li>Follow scrum ceremonies.</li></ul></div><br>
<p><br>
Configuration and Coding:</p>
<div>
<ul><li>Define coding standards<br>
templates and checklists. Perform code review of team members.</li></ul></div><br>
<p><br>
Test:</p>
<div>
<ul><li>Review and create unit test cases<br>
scenarios and execution.</li></ul>
<ul><li>Review test plan created by testing team.</li></ul>
<ul><li>Provide clarifications to the testing team.</li></ul></div><br>
<p><br>
Manage Defects:</p>
<div>
<ul><li>Perform defect RCA and mitigation.</li></ul>
<ul><li>Identify defect trends and take proactive measures to improve quality.</li></ul></div><br>
<p><br>
Manage Project:</p>
<div>
<ul><li>Manage delivery of modules. Manage user stories.</li></ul></div><br>
<p><br>
Documentation:</p>
<div>
<ul><li>Create/review templates<br>
checklists<br>
guidelines<br>
standards for design/process/development.</li></ul>
<ul><li>Create/review deliverable documents. Design documentation<br>
requirements<br>
test cases and results.</li></ul></div><br>
<p><br>
Status Reporting:</p>
<div>
<ul><li>Report status of tasks assigned.</li></ul>
<ul><li>Comply with project related reporting standards and process.</li></ul></div><br>
<p><br>
Manage knowledge:</p>
<div>
<ul><li>Contribute project related documents<br>
share point<br>
libraries<br>
client universities.</li></ul>
<ul><li>Review the reusable documents created by the team.</li></ul>
<ul><li>Create knowledge sharing assets.</li></ul></div><br>
<p><br>
Release:</p>
<div>
<ul><li>Execute and monitor release process</li></ul></div><br>
<p><br>
Interface with Customer:</p>
<div>
<ul><li>Clarify requirements and provide guidance to development team</li></ul>
<ul><li>Present design options to customers</li></ul>
<ul><li>Implementation reviews with stakeholders.</li></ul>
<ul><li>Work closely with customer architects to finalize design</li></ul></div><br>
<p><br>
Domain relevance:</p>
<div>
<ul><li>Advise software developers on design and development of feature / component with deeper understanding of the business problem being addressed for the client.</li></ul>
<ul><li>Learn more about the customer domain and identify opportunities to provide value additions to customers</li></ul>
<ul><li>Complete relevant domain certifications</li></ul></div><br>
<p><br>
Manage/Mentoring Team:</p>
<div>
<ul><li>Set goals and provide regular feedback to team members.</li></ul>
<ul><li>Understand aspirations of their team members and provide guidance<br>
opportunities<br>
etc.</li></ul>
<ul><li>Ensure team members are upskilled and engaged in the project.</li></ul>
<ul><li>Proactively identify any risks and work with mitigation measures.</li></ul>
<ul><li>Mentor and motivate junior leads to upgrade their technical screening skills.</li></ul></div><br>
<p><br>
Assists others in resolving complex technical problems:</p>
<div>
<ul><li>Manage all aspects of problem management activities<br>
investigating the root cause ofrnproblems and recommends SMART (specific<br>
measurable<br>
achievable<br>
realistic<br>
timely)rnsolutions.</li></ul></div><br>
<p><br>
Development and review of Standards &amp; Documentation:</p>
<div>
<ul><li>Maintenance of software process improvement activities<br>
communicating to a range of individuals and teams.</li></ul></div><br>
<p><br>
Solution Definition &amp; Design:</p>
<div>
<ul><li>Define Architecture for the small sized kind of project.</li></ul>
<ul><li>Design the technical framework and implement the same.</li></ul>
</div>
<p></p><p>Skill Examples:</p>
<div>
<ul><li> Proactively identifying solutions for technical issues.</li></ul>
<ul><li> Ability to maintain technical evaluation procedures.</li></ul>
<ul><li> Ability to estimate project effort based on the requirement.</li></ul>
<ul><li> Perform and evaluate test results against product specifications.</li></ul>
<ul><li> Break down complex problems into logical components.</li></ul>
<ul><li> Interface with other teams designers and other parallel practice; including regular follow up for any conflicts during project execution.</li></ul>
<ul><li> Create and articulate impactful technical presentations.</li></ul>
<ul><li> Follow high level of business etiquette in emails and other business communication.</li></ul>
<ul><li> Drive conference calls with customers and answer customer questions.</li></ul>
<ul><li> Ability to work under pressure determine dependencies risks facilitate planning and handle multiple tasks.</li></ul>
<ul><li> Build confidence with customers by meeting the deliverables in time with quality.</li></ul>
<ul><li> Proactively ask for and offer help</li></ul>
</div>
<p></p><p>Knowledge Examples:</p>
<ul>
<li> Functional and technical designing on various ERP/CRM cloud platform features and automations.
<div> <ul><li>Thorough knowledge of coding best practices and understanding the limitations of coding.</li></ul>
<ul><li> Experience using data loading tools.</li></ul>
<ul><li> Experience with production deployment and solving deployment errors.</li></ul>
<ul><li> Experience in integrating ERP/CRM with external systems using SOAP API REST API etc.</li></ul>
<ul><li> Experience working in Agile methodology.</li></ul>
<ul><li> Must have knowledge - HTML/HTML5 CSS XML AJAX Web-services.</li></ul>
<ul><li> Experience with Google APIs JQuery/any other java-script framework ERP/CRM technology specific mobile development analytics etc.</li></ul>
<ul><li> Deep knowledge on architecting solutions and applications on cloud-based infrastructures.</li></ul>
<ul><li>Deep level proficiency in the specialist area.</li></ul>
</div>
</li></ul></div><h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>Workday Advance Compensation,Workday Compensation,Workday Compensation Modules</p></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Architect I - Enterprise Solutions (Advance Compensation)

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